Podcasts about ai act

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(00:00:00) 10 Profezie per il 2026 (e le mutande tassate) (00:00:29) Inizio del 2026 (00:00:40) Previsioni tecnologiche del 2026 (00:02:10) Il lancio di GTA 6 (00:09:58) Il mondo del gaming nel 2025 (00:13:42) Nuove tecnologie di Valve (00:19:54) Innovazioni nel settore smartphone (00:24:57) Futuro degli smartphone pieghevoli (00:27:51) Connettività satellitare nel 2026 (00:30:34) Potenziali cambiamenti nelle reti cellulari (00:35:17) Identità digitale e privacy (00:41:09) Intelligenza artificiale nella vita quotidiana (00:48:32) Regolamentazione dell'IA in Europa (01:03:31) Smart glasses del futuro (01:09:28) Conclusione e saluti L'ultimo episodio del 2025 è un intenso faccia a faccia con Francesco Graziani. Insieme commentiamo le 10 predizioni tech generate dall'AI per il 2026: dal dominio culturale di GTA 6 alla nuova offensiva hardware di Valve, passando per la morte delle "zone morte" grazie al satellite nativo. Non mancano le polemiche: tra AI Act, tasse doganali europee (spiegate con un curioso esempio di intimo usato) e il sogno di un'identità digitale sicura.Visita Digiteee e scopri tutte le notizie sulla tecnologiaSegui Digiteee su TikTokDimmi la tua su Twitter, su Threads, su Telegram, su Mastodon, su BlueSky o su Instagram.Mail jacoporeale@yahoo.it Scopri dove ascoltare il podcast e lascia una recensione su Apple Podcast o Spotify.Ascolta An iPad guy su YouTube Podcast.Supporta il podcast

A new US lawsuit brought by authors against leading AI developers reopens a core legal question: can large-scale AI training on copyrighted books systematically qualify as fair use? In this episode of Diritto al Digitale, Giulio Coraggio of the global law firm DLA Piper analyzes the legal strategy behind the case, compare the US and EU copyright frameworks, and explore the practical implications for AI developers, deployers, and corporate governance under the AI Act. Send us a text

Przygotowaliśmy dwa specjalne odcinki Technologicznie. Są o rewolucji sztucznej inteligencji, które już się dokonała oraz tej, która przed nami w najbliższych miesiącach.Pierwszy odcinek skupia się na odpowiedzialności i ryzyku. Drugi na tym jak może wyglądać kolejny przełom - agentów AI.Dwa różne spojrzenia i jedno pytanie: czy jesteśmy gotowi na przyszłość z AI?To pierwszy odcinek specjalny.Zastosowanie sztucznej inteligencji w biznesie to dziś nie tyle kwestia wyboru, co przetrwania. AI przyspiesza analizę danych, pozwala na automatyzację procesów i personalizację ofert na niespotykaną dotąd skalę. Rosnące możliwości to także rosnące ryzyka. Czy modele AI można zostawić same sobie? Kto powinien kontrolować decyzje algorytmów, które wpływają na życie klientów i reputację firmy?W tym odcinku podcastu Technologicznie Jarosław Kuźniar rozmawia z dwoma ekspertami: Janem Kleczkowskim, Commercial Solutions Sales Lead w Microsoft, i Krzysztofem Skaskiewiczem, Advisory Engagement Managerem w SAS, o tym, jak pogodzić innowacje z odpowiedzialnością. Jak budować zaufanie do systemów opartych na danych i AI.Z tego pierwszego specjalnego odcinka podcastu Technologicznie dowiesz się:- Dlaczego AI potrzebuje nadzoru człowieka.- Czym jest model zarządzania ryzykiem AI i kto za niego odpowiada.- Jak regulacje (np. AI Act) zmieniają wdrażanie AI.- Dlaczego ważne jest, skąd AI bierze dane i jak podejmuje decyzje.- Jak Microsoft i SAS wspierają firmy w budowaniu odpowiedzialnej i bezpiecznej AI.Masz pytanie do ekspertów? Możesz je zadać tutaj: ⁠⁠⁠⁠https://tally.so/r/npJBAV ⁠⁠⁠⁠W aplikacji Voice House Club m.in.:✔️ Wszystkie formaty w jednym miejscu.✔️ Możesz przeczytać lub posłuchać.✔️ Transkrypcje odcinków Serii in Brief z dodatkowymi materiałami wideo.Dołącz: ​​⁠⁠⁠⁠https://bit.ly/VoiceHouseClub ⁠⁠⁠⁠Znajdziesz nas też:

The European medical device sector is a vital pillar of healthcare innovation, employing over 930,000 people and representing a market of approximately €170 billion. However, since the implementation of MDR and IVDR, manufacturers—especially SMEs—have faced increasing regulatory complexity, long certification timelines, and reduced market predictability.In this podcast episode, we explore the 2025 EU proposal designed to address these challenges by simplifying regulatory processes while preserving patient safety.The discussion covers:Key shortcomings of the current MDR/IVDR frameworkThe impact on innovation, availability of devices, and SMEsThe eight reform pillars, including proportionality, digitalisation, international cooperation, and improved coordination with EMA and Notified BodiesHow upcoming EU legislation (AI Act, Cybersecurity Act, Biotech Act) will interact with medical device regulationsThis episode provides practical insights for manufacturers, regulatory professionals, and policymakers seeking to anticipate regulatory changes and adapt their strategies accordingly.Who is Monir El Azzouzi? Monir El Azzouzi is a Medical Device Expert specializing in Quality and Regulatory Affairs. After working for many years with big Healthcare companies, particularly Johnson and Johnson, he decided to create EasyMedicalDevice.com to help people better understand Medical Device Regulations worldwide. He has now created the consulting firm Easy Medical Device GmbH and developed many ways to deliver knowledge through videos, podcasts, online courses… His company also acts as Authorized Representative for the EU, UK, and Switzerland. Easy Medical Device becomes a one-stop shop for medical device manufacturers that need support on Quality and Regulatory Affairs.Links  Adam Linkedin: https://www.linkedin.com/in/adam-isaacs-rae/Social Media to follow Monir El Azzouzi Linkedin: https://linkedin.com/in/melazzouzi Twitter:https://twitter.com/elazzouzim Pinterest: https://www.pinterest.com/easymedicaldevice Instagram: https://www.instagram.com/easymedicaldevice 

Which parts of AI Act, NIS2, DORA, and DSA overlap so you can cover more with less? What basics raise your baseline fast: central logs, backups, risk assessments, and human-in-the-loop governance? Could a simple mailing list make incident comms painless?  We are always happy to answer any questions, hear suggestions for new episodes, or hear from you, our listeners. DevSecOps Talks podcast LinkedIn page DevSecOps Talks podcast website DevSecOps Talks podcast YouTube channel

On this episode of Reaganism, Roger sits down with Chairman John Moolenaar of the Select Committee on the Chinese Communist Party to discuss the strategic competition between the United States and the CCP, focusing on the implications of China's actions on national security and economic interests. Chairman Moolenaar highlights the bipartisan efforts of the Committee to address these challenges, emphasizing the importance of maintaining technological and economic advantages over China. They also explore the GAIN Act, which aims to prioritize American access to advanced AI chips, ensuring that the U.S. remains a leader in innovation while safeguarding national security. The discussion underscores the ideological differences between the U.S. and China, particularly in terms of individual freedoms and government control, and the need for policies that reflect American values.

On November 19, the European Commission unveiled two major omnibus packages as part of its European Data Union Strategy. One package proposes several changes to the EU General Data Protection Regulation, while the other proposes significant changes to the recently minted EU AI Act, including a proposed delay to the regulation of so-called high-risk AI systems.    Laura Caroli was a lead negotiator and policy advisor to AI Act co-rapporteur Brando Benifei and was immersed in the high-stakes negotiations leading to the AI regulation. She is also a former senior fellow at the Center for Strategic and International Studies, but recently moved back to Brussels during a time of major complexity in the EU.    IAPP Editorial Director Jedidiah Bracy caught up with Caroli to discuss her views on the proposed changes to the AI Act in the omnibus package and how she thinks the negotiations will play out. Here's what she had to say.  

In this episode of French Insider, Melissa Hughes, a senior associate in Sheppard Mullin's Labor and Employment Practice Group and member of the French Desk, joins us to explore the use of AI for automated decision-making throughout the employment life cycle, including the associated risks and how they can be mitigated.   What we discussed in this episode:  How does AI interact with the workplace? From an employment perspective, where does AI carry the most risk? Why is the use of AI in employment decisions particularly concerning? How can employers mitigate the risks associated with AI tools? What should employers consider when selecting an AI tool? Does the U.S. have any AI regulations comparable to the E.U.'s AI Act?  What U.S. trends should employers be aware of? What advice would you give companies as they roll out AI tools or increase the use of AI to do business? Disclaimer: This episode was recorded prior to the signing of Executive Order 14365, "Ensuring a National Policy Framework for Artificial Intelligence." As a result, some discussions may not reflect the policies or guidance established by this order.   About Melissa Hughes As a senior associate in the Labor and Employment Practice Group in Sheppard Mullin's San Francisco office, Mellissa Hughes defends and counsels employers in a range of disputes, involving harassment, discrimination, retaliation, failure to accommodate, wrongful termination, wage and hour claims, PAGA actions, and class actions. She also has traditional labor law experience, including arbitration, unfair labor practice proceedings, and litigation under the National Labor Relations Act. Melissa represents employers of all sizes in state and federal courts, administrative proceedings, and every phase of litigation, from pre-suit strategy through post-trial motions. She also serves as a trusted advisor on day-to-day workplace issues, including disability accommodations, leaves of absence, performance management, workplace investigations, and compliance with California's complex wage and hour laws. As a member of Sheppard Mullin's French Desk, Melissa advises French companies and groups operating in or expanding to the U.S. on a full range of employment and personnel matters in both French and English.   About Inès Briand Inès Briand is an associate in Sheppard Mullin's Corporate Practice Group and French Desk Team in the firm's Brussels office, where her practice primarily focuses on domestic and cross-border mergers and acquisition transactions (with special emphasis on operations involving French companies). She also has significant experience in general corporate matters and compliance for foreign companies settled in the United States. As a member of the firm's French Desk, Inès has advised companies and private equity funds in both the United States and Europe on mergers and acquisitions, commercial contracts, and general corporate matters, including the expansion of French companies in the United States.   Contact Information Mellissa Hughes Inès Briand    Thank you for listening! Don't forget to SUBSCRIBE to the show to receive every new episode delivered straight to your podcast player every week. If you enjoyed this episode, please help us get the word out about this podcast. Rate and Review this show in Apple Podcasts, Deezer, Amazon Music, or Spotify. It helps other listeners find this show. This podcast is for informational and educational purposes only. It is not to be construed as legal advice specific to your circumstances. If you need help with any legal matter, be sure to consult with an attorney regarding your specific needs.

Europa deklaruje gotowość do zagwarantowania bezpieczeństwa Ukrainie, sektor AI apeluje o wstrzymanie AI Act, a Bruksela wycofuje się z zakazu aut spalinowych. Tymczasem Chiny wprowadzają cła na wieprzowinę z UE.0:53 - Propozycja gwarancji bezpieczeństwa dla Ukrainy2:28 - AI ACT hamuje rozwój sektora3:36 - Najważniejsze informacje z polskiej gospodarki4:53 - Najważniejsze informacje ze światowej gospodarki9:08 - W jakie spółki inwestować w 2026 roku?10:20 - Dane z rynków i kalendariumKup subskrypcję „Rzeczpospolitej” pod adresem: czytaj.rp.pl

Want a quick map of EU compliance for engineers? How do you classify AI by risk and tell users when AI is used? When do you send a 24-hour heads-up and a one-month report after an incident? Does NIS2 make your board liable and your logs mandatory?  We are always happy to answer any questions, hear suggestions for new episodes, or hear from you, our listeners. DevSecOps Talks podcast LinkedIn page DevSecOps Talks podcast website DevSecOps Talks podcast YouTube channel

PRO - Ai Act checkup tool inutile e Social vietati ai minori - inutileIl Garante dei Minori: https://www.garanteinfanzia.org/tutela-dei-minori-online-lautorita-garante-responsabilizzare-le-famiglieL'AI ACT compliance checker:https://www.civile.it/privacy/visual.php?num=100621 

Un algorithme peut-il être loyal ? Comment garantir transparence et confiance vis-à-vis des utilisateurs ? Dans ce nouvel épisode des Causeries Data, Nathalie Laneret, vice-présidente Public Affairs de Criteo, revient sur la manière dont l'entreprise articule innovation et respect des droits fondamentaux dans un environnement réglementaire en pleine recomposition ; et appelle à plus de clarté juridique pour innover en confiance. Réguler sans freiner : comment dépasser le faux débat entre conformité et innovation ? Bonne écoute.Nathalie LaneretNathalie Laneret est vice-présidente des Affaires Publiques et Gouvernementales chez Critéo. Femme de tech, ancienne DPO de Capgemini, elle défend une utilisation éthique des données. Avocate inscrite aux barreaux de Paris et de New York, elle est une voix influente dans la protection des données et l'intelligence artificielle.France CharruyerFrance Charruyer est fondatrice d'Altij & Oratio Avocats, réseau Baker Tilly, avocate en propriété intellectuelle, technologies de l'information et protection des données, DPO / AI Officer. Présidente de l'association d'intérêt général Data Ring, fondatrice du Lab IA Data Ring, elle s'engage activement pour une gouvernance éthique et responsable des données, au service d'une innovation durable et sécurisée.Elle est chargée d'enseignement à l'INSA sur les enjeux de l'IA de confiance, et intervient à l'Université Paris-Dauphine dans le cadre du D.U. RGPD et délégué à la protection des données. Elle enseigne également à l'Université Toulouse 1 Capitole (Master II DJCE – Master II Propriété Intellectuelle) ainsi qu'à Toulouse Business School (TBS) sur la gouvernance des données, les cyber-risques, et les enjeux liés à l'entrepreneuriat et aux startups.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Singapore shares dipped today despite gains seen on Wall Street overnight. The Straits Times Index was down 0.31% at 4,540.41 points at 11.58am Singapore time, with a value turnover of S$505.89M seen in the broader market. In terms of counters to watch, we have DFI Retail Group, after the supermarket and retail store operator unveiled a three-year strategic road map targeting double-digit profit growth and a higher dividend payout, as it moves to leverage its scale and digital capabilities. Elsewhere, from a breakdown of the latest US ADP jobs report, to more on Nvidia and the so-called Gain AI Act, more international and corporate headlines remained in focus. Also on deck, how Paramount Skydance reportedly more than doubled the proposed breakup fee in its offer to acquire Warner Bros Discovery to US$5 billion. On Market View, Money Matters’ finance presenter Chua Tian Tian dived into the details with David Chow, Director, Azure Capital. See omnystudio.com/listener for privacy information.

Tras años trabajando con LLMs, agentes y flujos autónomos, la conclusión es estratégica: el chat ha muerto como interfaz corporativa. Según el análisis del documento (ver páginas 2–5): ✔ La conversación es ineficiente ✔ Los agentes n8n cerrados toman decisiones sin intervención humana ✔ La superficie de ataque se expande y exige cumplimiento con el AI Act ✔ 2026 abre paso al concepto de Sistemas Operativos Líquidos Las organizaciones que sigan usando chatbots tradicionales quedarán fuera del nuevo estándar operativo europeo. ¿Quieres preparar a tu empresa para esta transición? Estoy construyendo soluciones SRIA basadas en IA agéntica segura.

Achtung (Werbung in eigener Sache):  Jetzt ist mein neues Buch (in Co-Produktion mit Prof. Dr. Johanna Bath): "Die perfekte Employee Journey & Experience" verfügbar: Springer: https://link.springer.com/book/9783662714195 Amazon: https://bit.ly/44aajaP Thalia: https://www.thalia.de/shop/home/artikeldetails/A1074960417 Dieses Fachbuch stellt die wichtigsten Elemente der Employee Journey vor – vom Pre-Boarding bis zum Offboarding – und erläutert, wie Verantwortliche in Unternehmen eine gelungene Employee Experience realisieren und nachhaltig verankern können.   Mein Gast: Dr. Yasemin Tahris (Arbeits- und Organisationspsychologin und Chief Experience Officer der FLOWIT AG) Dr. Yasemin Tahris ist Arbeits- und Organisationspsychologin und Chief Experience Officer der FLOWIT AG, einem Schweizer Technologieunternehmen mit Sitz in Zürich, das KI-gestützte Lösungen für Mitarbeiterfeedback und People Analytics entwickelt. Sie verbindet psychologische Forschung mit moderner Datenanalyse und ermöglicht es Unternehmen, Mitarbeiterbefragungen in über 140 Sprachen gleichzeitig durchzuführen – präzise, kulturell sensibel und datenschutzkonform. Mit ihrer Arbeit zeigt sie, wie KI dazu beitragen kann, die Stimme der Mitarbeitenden weltweit zu erfassen und Führungskräften valide Entscheidungsgrundlagen für Engagement- und Entwicklungsprogramme zu liefern.   Thema: In der GainTalents-Podcastfolge 429 habe ich mit Dr. Yasemin Tahris (Arbeits- und Organisationspsychologin und Chief Experience Officer der FLOWIT AG) darüber gesprochen, wie künstliche Intelligenz Mitarbeiterbefragungen völlig neu gestalten kann. Herzlichen Dank an Yasemin für die vielen guten Tipps zum Thema. Viel Spaß beim Reinhören!  KI-gestützte Mitarbeiterbefragungen - das ist heute möglich! Zunächst ist eine Analyse der Ist-Situation in den Unternehmen erforderlich Bei der Analyse kommen bereits ki-gestützte Chatbots für den strukturierten Aufbau der Analyse zum Einsatz hierbei werden sowohl die unterschiedlichen Sprachen als auch das Fachvokabular berücksichtigt und verstanden! Mit KI-Unterstützung kann sehr schnell und sehr tiefgehend eine Entlastung von Führungskräften im Sinne der Interaktionen erfolgen die KI hört für die Führungskräfte zu (ersetzt diese aber nicht) die KI bereitet die wichtigsten Infos von hunderten von Mitarbeitenden auf und bietet Verbesserungsvorschläge (Coaching-Hinweise) die KI agiert wie ein Arbeits- und Organisationspsychologe und geben lösungsorientiertes Feedback die KI liefert Leitfäden für kommende Teamsitzungen, etc. Die Ergebnisse aus der Befragung werden in Dashboards aufbereitet und es ist möglich mit den Dashboards zu chatten (mit KI-Chatbot, der wie ein Arbeits- und Organisationspsychologe agiert) Mindestens 10 Personen für eine Befragung und mindestens sechs Personen müssen geantwortet haben Es gibt keine Informationen zu individuellen Angaben (Datenschutz) Mögliche Ergebnisse: Reduzierung der Fluktuation um bis zu 30 Prozent Effizienzgewinne (mehr/neue Skills durch bessere Weiterbildung bei den Mitarbeitenden, Entlastung von HR) signifikant bessere Daten für den HR-Bereich (People & Culture) - inkl. Frühwarnsysteme für Fluktuation starke Interaktion mit den Mitarbeitenden zu Ergebnissen, den daraus abgeleiteten Maßnahmen und Follow-ups Alle Daten werden in Deutschland gehostet (DSGVO- und AI-Act-konform)   #PeopleAnalytics #EmployeeExperience #KI #Mitarbeiterbefragung #Diversity #NewWork #GainTalentspodcast   Shownotes Links - Dr. Yasemin Tahris LinkedIn: https://www.linkedin.com/in/dr-yasemin-tahris/ Webseite: https://www.flowit.ai    Links Hans-Heinz Wisotzky:  Website: https://www.gaintalents.com/podcast und https://www.gaintalents.com/blog Podcast: https://www.gaintalents.com/podcast Bücher: Neu (jetzt überall zu kaufen): Die perfekte Employee Journey und Experience https://link.springer.com/book/9783662714195 Erste Buch: Die perfekte Candidate Journey und Experience https://www.gaintalents.com/buch-die-perfekte-candidate-journey-und-experience LinkedIn https://www.linkedin.com/in/hansheinzwisotzky/ LinkedIn https://www.linkedin.com/company/gaintalents XING https://www.xing.com/profile/HansHeinz_Wisotzky/cv Facebook https://www.facebook.com/GainTalents Instagram https://www.instagram.com/gain.talents/ Youtube https://bit.ly/2GnWMFg

The EU's new Digital Omnibus proposal aims to simplify and align Europe's most important digital laws — from the GDPR and AI Act to the Data Act, NIS2 and the Cyber Resilience Act. But will it really make compliance easier, or create even more complexity?In this episode of Diritto al Digitale, Giulio Coraggio from the law firm DLA Piper breaks down the Digital Omnibus in simple, clear language, explaining:•what changes for AI training, GDPR, cookies and legitimate interest,•how the EU wants to create a single incident-reporting portal,•what the major updates mean for AI providers, privacy teams and cybersecurity leaders,•and whether the Omnibus can truly “correct” today's fragmented EU digital rules.Perfect for legal, tech and business professionals who want a fast and easy explanation of one of the EU's most important upcoming reforms.Listen now to understand how the Digital Omnibus may reshape your AI, data and cybersecurity strategy in 2025 and beyondSend us a text

Achtung (Werbung in eigener Sache):  Jetzt ist mein neues Buch (in Co-Produktion mit Prof. Dr. Johanna Bath): "Die perfekte Employee Journey & Experience" verfügbar: Springer: https://link.springer.com/book/9783662714195 Amazon: https://bit.ly/44aajaP Thalia: https://www.thalia.de/shop/home/artikeldetails/A1074960417 Dieses Fachbuch stellt die wichtigsten Elemente der Employee Journey vor – vom Pre-Boarding bis zum Offboarding – und erläutert, wie Verantwortliche in Unternehmen eine gelungene Employee Experience realisieren und nachhaltig verankern können.   Mein Gast: Dr. Yasemin Tahris (Arbeits- und Organisationspsychologin und Chief Experience Officer der FLOWIT AG) Dr. Yasemin Tahris ist Arbeits- und Organisationspsychologin und Chief Experience Officer der FLOWIT AG, einem Schweizer Technologieunternehmen mit Sitz in Zürich, das KI-gestützte Lösungen für Mitarbeiterfeedback und People Analytics entwickelt. Sie verbindet psychologische Forschung mit moderner Datenanalyse und ermöglicht es Unternehmen, Mitarbeiterbefragungen in über 140 Sprachen gleichzeitig durchzuführen – präzise, kulturell sensibel und datenschutzkonform. Mit ihrer Arbeit zeigt sie, wie KI dazu beitragen kann, die Stimme der Mitarbeitenden weltweit zu erfassen und Führungskräften valide Entscheidungsgrundlagen für Engagement- und Entwicklungsprogramme zu liefern.   Thema: In der GainTalents-Podcastfolge 429 habe ich mit Dr. Yasemin Tahris (Arbeits- und Organisationspsychologin und Chief Experience Officer der FLOWIT AG) darüber gesprochen, wie künstliche Intelligenz Mitarbeiterbefragungen völlig neu gestalten kann. Herzlichen Dank an Yasemin für die vielen guten Tipps zum Thema. Viel Spaß beim Reinhören!  KI-gestützte Mitarbeiterbefragungen - das ist heute möglich! Zunächst ist eine Analyse der Ist-Situation in den Unternehmen erforderlich Bei der Analyse kommen bereits ki-gestützte Chatbots für den strukturierten Aufbau der Analyse zum Einsatz hierbei werden sowohl die unterschiedlichen Sprachen als auch das Fachvokabular berücksichtigt und verstanden! Mit KI-Unterstützung kann sehr schnell und sehr tiefgehend eine Entlastung von Führungskräften im Sinne der Interaktionen erfolgen die KI hört für die Führungskräfte zu (ersetzt diese aber nicht) die KI bereitet die wichtigsten Infos von hunderten von Mitarbeitenden auf und bietet Verbesserungsvorschläge (Coaching-Hinweise) die KI agiert wie ein Arbeits- und Organisationspsychologe und geben lösungsorientiertes Feedback die KI liefert Leitfäden für kommende Teamsitzungen, etc. Die Ergebnisse aus der Befragung werden in Dashboards aufbereitet und es ist möglich mit den Dashboards zu chatten (mit KI-Chatbot, der wie ein Arbeits- und Organisationspsychologe agiert) Mindestens 10 Personen für eine Befragung und mindestens sechs Personen müssen geantwortet haben Es gibt keine Informationen zu individuellen Angaben (Datenschutz) Mögliche Ergebnisse: Reduzierung der Fluktuation um bis zu 30 Prozent Effizienzgewinne (mehr/neue Skills durch bessere Weiterbildung bei den Mitarbeitenden, Entlastung von HR) signifikant bessere Daten für den HR-Bereich (People & Culture) - inkl. Frühwarnsysteme für Fluktuation starke Interaktion mit den Mitarbeitenden zu Ergebnissen, den daraus abgeleiteten Maßnahmen und Follow-ups Alle Daten werden in Deutschland gehostet (DSGVO- und AI-Act-konform)   #PeopleAnalytics #EmployeeExperience #KI #Mitarbeiterbefragung #Diversity #NewWork #GainTalentspodcast   Shownotes Links - Dr. Yasemin Tahris LinkedIn: https://www.linkedin.com/in/dr-yasemin-tahris/ Webseite: https://www.flowit.ai    Links Hans-Heinz Wisotzky:  Website: https://www.gaintalents.com/podcast und https://www.gaintalents.com/blog Podcast: https://www.gaintalents.com/podcast Bücher: Neu (jetzt überall zu kaufen): Die perfekte Employee Journey und Experience https://link.springer.com/book/9783662714195 Erste Buch: Die perfekte Candidate Journey und Experience https://www.gaintalents.com/buch-die-perfekte-candidate-journey-und-experience LinkedIn https://www.linkedin.com/in/hansheinzwisotzky/ LinkedIn https://www.linkedin.com/company/gaintalents XING https://www.xing.com/profile/HansHeinz_Wisotzky/cv Facebook https://www.facebook.com/GainTalents Instagram https://www.instagram.com/gain.talents/ Youtube https://bit.ly/2GnWMFg

In dieser Folge spricht Nico Freitag mit Dr. Daniel Meltzian, Leiter des Grundsatzreferats Cyber und Informationssicherheit im Bundesministerium des Innern. Der Zeitpunkt könnte kaum aktueller sein, denn am Tag der Aufnahme hat der Bundestag das NIS-2-Umsetzungsgesetz in zweiter und dritter Lesung verabschiedet.Daniel erklärt Schritt für Schritt, wie ein Gesetz in Deutschland entsteht. Vom ersten Entwurf über Haus und Ressortabstimmung, Kabinett, Bundesrat, Bundestag bis hin zur Veröffentlichung im Bundesgesetzblatt. Beim NIS-2-Gesetz zeigt sich, warum dieser Weg oft länger dauert, als viele erwarten. Politische Blockaden, die Auflösung der Regierung, Wahlen und zusätzliche politische Wünsche haben den Prozess deutlich verzögert.Ein Schwerpunkt der Folge ist die Frage, warum Deutschland wie viele andere EU-Staaten die EU Frist zur Umsetzung verfehlt hat. Daniel beschreibt offen, wie neun Monate Stillstand zwischen Ministerien entstanden sind und wie die neue Abteilungsleitung und veränderte Prioritäten schließlich Bewegung in die Sache gebracht haben.Außerdem geht es um Themen wie: • die Diskussion um kritische Komponenten und warum diese kurzfristig ins Gesetz aufgenommen wurden • die Rolle von Bund, Ländern und Kommunen bei der Cybersicherheit • warum die Bundesregierung nur die Ministerien, nicht aber die gesamte Bundesverwaltung regeln wollte • wie das Parlament in der jetzigen Version doch eine breitere Regelung durchgesetzt hat • welche Fristen jetzt gelten und warum das Gesetz vermutlich noch im Dezember in Kraft tritt • welche Aufgaben nun beim BSI und in den Unternehmen liegen • wie NIS-2 im Kontext anderer EU-Regelwerke wie dem Cyber Resilience Act und dem AI Act steht • welche nächsten großen Themen im Innenministerium anstehen, darunter aktive Cyberabwehr und die neue CybersicherheitsstrategieDie Folge zeigt, warum Cybersicherheit politisch, organisatorisch und rechtlich komplex ist und wie viele Faktoren darüber entscheiden, wann ein Gesetz wirklich kommt. Gleichzeitig wird deutlich, wie groß der Druck inzwischen ist, weil die EU bereits ein Vertragsverletzungsverfahren gestartet hat.Ein Blick hinter die Kulissen, der selten so offen erzählt wird.____________________________________________

In dieser Folge spricht Nico Freitag mit Dr. Daniel Meltzian, Leiter des Grundsatzreferats Cyber und Informationssicherheit im Bundesministerium des Innern. Der Zeitpunkt könnte kaum aktueller sein, denn am Tag der Aufnahme hat der Bundestag das NIS-2-Umsetzungsgesetz in zweiter und dritter Lesung verabschiedet.Daniel erklärt Schritt für Schritt, wie ein Gesetz in Deutschland entsteht. Vom ersten Entwurf über Haus und Ressortabstimmung, Kabinett, Bundesrat, Bundestag bis hin zur Veröffentlichung im Bundesgesetzblatt. Beim NIS-2-Gesetz zeigt sich, warum dieser Weg oft länger dauert, als viele erwarten. Politische Blockaden, die Auflösung der Regierung, Wahlen und zusätzliche politische Wünsche haben den Prozess deutlich verzögert.Ein Schwerpunkt der Folge ist die Frage, warum Deutschland wie viele andere EU-Staaten die EU Frist zur Umsetzung verfehlt hat. Daniel beschreibt offen, wie neun Monate Stillstand zwischen Ministerien entstanden sind und wie die neue Abteilungsleitung und veränderte Prioritäten schließlich Bewegung in die Sache gebracht haben.Außerdem geht es um Themen wie: • die Diskussion um kritische Komponenten und warum diese kurzfristig ins Gesetz aufgenommen wurden • die Rolle von Bund, Ländern und Kommunen bei der Cybersicherheit • warum die Bundesregierung nur die Ministerien, nicht aber die gesamte Bundesverwaltung regeln wollte • wie das Parlament in der jetzigen Version doch eine breitere Regelung durchgesetzt hat • welche Fristen jetzt gelten und warum das Gesetz vermutlich noch im Dezember in Kraft tritt • welche Aufgaben nun beim BSI und in den Unternehmen liegen • wie NIS-2 im Kontext anderer EU-Regelwerke wie dem Cyber Resilience Act und dem AI Act steht • welche nächsten großen Themen im Innenministerium anstehen, darunter aktive Cyberabwehr und die neue CybersicherheitsstrategieDie Folge zeigt, warum Cybersicherheit politisch, organisatorisch und rechtlich komplex ist und wie viele Faktoren darüber entscheiden, wann ein Gesetz wirklich kommt. Gleichzeitig wird deutlich, wie groß der Druck inzwischen ist, weil die EU bereits ein Vertragsverletzungsverfahren gestartet hat.Ein Blick hinter die Kulissen, der selten so offen erzählt wird.____________________________________________

Our 226th episode with a summary and discussion of last week's big AI news!Recorded on 11/24/2025Hosted by Andrey Kurenkov and co-hosted by Michelle LeeFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode: New AI model releases include Google's Gemini 3 Pro, Anthropic's Opus 4.5, and OpenAI's GPT-5.1, each showcasing significant advancements in AI capabilities and applications.Robotics innovations feature Sunday Robotics' new robot Memo and a $600M funding round for Visual Intelligence, highlighting growth and investment in the robotics sector.AI safety and policy updates include Europe's proposed changes to GDPR and AI Act regulations, and reports of AI-assisted cyber espionage by a Chinese state-sponsored group.AI-generated content and legal highlights involve settlements between Warner Music Group and AI music platform UDIO, reflecting evolving dynamics in the field of synthetic media.Timestamps:(00:00:10) Intro / Banter(00:01:32) News Preview(00:02:10) Response to listener commentsTools & Apps(00:02:34) Google launches Gemini 3 with new coding app and record benchmark scores | TechCrunch(00:05:49) Google launches Nano Banana Pro powered by Gemini 3(00:10:55) Anthropic releases Opus 4.5 with new Chrome and Excel integrations | TechCrunch(00:15:34) OpenAI releases GPT-5.1-Codex-Max to handle engineering tasks that span twenty-four hours(00:18:26) ChatGPT launches group chats globally | TechCrunch(00:20:33) Grok Claims Elon Musk Is More Athletic Than LeBron James — and the World's Greatest LoverApplications & Business(00:24:03) What AI bubble? Nvidia's strong earnings signal there's more room to grow(00:26:26) Alphabet stock surges on Gemini 3 AI model optimism(00:28:09) Sunday Robotics emerges from stealth with launch of ‘Memo' humanoid house chores robot(00:32:30) Robotics Startup Physical Intelligence Valued at $5.6 Billion in New Funding - Bloomberg(00:34:22) Waymo permitted areas expanded by California DMV - CBS Los Angeles - Waymo enters 3 more cities: Minneapolis, New Orleans, and Tampa | TechCrunchProjects & Open Source(00:37:00) Meta AI Releases Segment Anything Model 3 (SAM 3) for Promptable Concept Segmentation in Images and Videos - MarkTechPost(00:40:18) [2511.16624] SAM 3D: 3Dfy Anything in Images(00:42:51) [2511.13998] LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software EngineeringResearch & Advancements(00:45:10) [2511.08544] LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics(00:50:08) [2511.13720] Back to Basics: Let Denoising Generative Models DenoisePolicy & Safety(00:52:08) Europe is scaling back its landmark privacy and AI laws | The Verge(00:54:13) From shortcuts to sabotage: natural emergent misalignment from reward hacking(00:58:24) [2511.15304] Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models(01:01:43) Disrupting the first reported AI-orchestrated cyber espionage campaign(01:04:36) OpenAI Locks Down San Francisco Offices Following Alleged Threat From Activist | WIREDSynthetic Media & Art(01:07:02) Warner Music Group Settles AI Lawsuit With UdioSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Finding it difficult to navigate the changing landscape of data protection? In this episode of the DMI podcast, host Will Francis speaks with Steven Roberts, Group Head of Marketing at Griffith College, Chartered Director, certified Data Protection Officer, and long-time marketing leader. Steven demystifies GDPR, AI governance, and the rapidly evolving regulatory environment that marketers must now navigate. Steven explains how GDPR enforcement has matured, why AI has created a new layer of complexity, and how businesses can balance innovation with compliance. He breaks down the EU AI Act, its risk-based structure, and its implications for organizations inside and outside the EU. Steven also shares practical guidance for building internal AI policies, tackling “shadow AI,” reducing data breach risks, and supporting teams with training and clear governance. For an even deeper look into how businesses can ensure data protection compliance, check out Steven's book, Data Protection for Business: Compliance, Governance, Reputation and Trust. Steven's Top 3 Tips Build data protection into projects from the start, using tools like Data Protection Impact Assessments to uncover risks early. Invest in regular staff training to avoid common mistakes caused by human error. Balance compliance with business performance by setting clear policies, understanding your risk appetite, and iterating your AI governance over time. The Ahead of the Game podcast is brought to you by the Digital Marketing Institute and is available on ⁠⁠⁠⁠YouTube, Apple Podcasts⁠⁠⁠⁠, ⁠⁠⁠⁠Spotify⁠⁠⁠⁠, and ⁠⁠⁠⁠all other podcast platforms. And if you enjoyed this episode please leave a review so others can find us. If you have other feedback for or would like to be a guest on the show, email the podcast team! Timestamps 01:29 – AI's impact on GDPR & the explosion of new global privacy laws 03:26 – Is GDPR the global gold standard? 05:04 – GDPR enforcement today: Who gets fined and why 07:09 – Cultural attitudes toward data: EU vs. US 08:51 – The EU AI Act explained: Risk tiers, guardrails & human oversight 10:48 – What businesses must do: DPIAs, fundamental rights assessments & more 13:38 – Shadow AI, risk appetite & internal governance challenges 17:10 – Should you upload company data to ChatGPT? 20:40 – How the AI Act affects countries outside the EU 24:47 – Will privacy improve over time? 28:45 – What teams can do now: Tools, processes & data audits 33:49 – Data enrichment tools: targeting vs. Legality 36:47 – Will anyone actually check your data practices? 40:06 – Steven's top tips for navigating GDPR & AI 

Roboter, KI, Smart Food & Demografie – steht Deutschland vor einem neuen Wirtschaftsboom? In dieser Folge spricht Tobias Kramer mit Zukunftsforscher Lars Thomsen über sechs Megatrends, die Deutschlands Wirtschaft in den nächsten Jahren massiv verändern – und welche Chancen sich daraus für Unternehmen, Anleger und den Standort insgesamt ergeben.

What if the rules we write today could make tomorrow's technology more human, safer, and genuinely worth wanting? We sit down with Anna Aseeva, a legal strategist working at the intersection of sustainability, intellectual property, and AI, to map a smarter path for digital innovation that starts with design and ends with systems people trust.We dig into the significant shifts shaping tech governance right now. Anna explains a practical model for aligning IP and sustainability: protect early to nurture fragile ideas through sandboxes and investment, then open up mature solutions with licensing that shares benefits and safeguards intent. This conversation is equally about culture and code. We talk about legal design that reads like plain talk, citizen participation that turns evidence into policy input, and civic apps that could let communities steer platform rules. We cover digital sustainability beyond emissions—lighter websites, greener hosting, and product decisions that fight digital obesity and planned obsolescence. And we don't shy away from the realities of AI: hallucinated footnotes, invented coauthors, and the simple fixes that come from a careful human in the loop.If you're a builder or curious listener who wants technology to serve people and planet, you'll find clear takeaways: design for sustainability from day one, keep humans in charge of final decisions, protect what's fragile, open what's ready, and invite people into the process. Subscribe, share with a friend, and tell us: where should human review be non-negotiable?Send us a textCheck out "Protection for the Inventive Mind" – available now on Amazon in print and Kindle formats. The views and opinions expressed (by the host and guest(s)) in this podcast are strictly their own and do not necessarily reflect the official policy or position of the entities with which they may be affiliated. This podcast should in no way be construed as promoting or criticizing any particular government policy, institutional position, private interest or commercial entity. Any content provided is for informational and educational purposes only.

Chaque semaine, un regard croisée sur l'actualité numérique, entre Paris et Montréal.Avec Bruno Guglielminetti (Mon Carnet)OVHcloud au sommetLe OVHcloud Summit 2025 s'est tenu à Paris à la Maison de la Mutualité. Moment fort de l'événement : le retour du fondateur Octave Klaba, accueilli comme une rockstar. Il reprend les rênes de l'entreprise avec une vision résolument axée sur l'intelligence artificielle et la souveraineté numérique. L'objectif est clair : positionner OVH non plus comme un acteur français, mais comme un champion européen du cloud, à contre-courant des géants américains. L'accueil enthousiaste du public montre que le message passe.Gemini 3 Pro : Google frappe fort en IALancé discrètement, Gemini 3 Pro, le nouveau modèle de Google, impressionne. Nous saluons ses performances, sa vitesse de génération d'images et sa capacité à produire du code avec une fluidité bluffante. Contrairement au lancement très orchestré de GPT-5, Google a surpris par son efficacité sans fanfare. Gemini 3 Pro s'annonce comme un sérieux rival dans le domaine de l'intelligence artificielle grand public et professionnelle.Cloudflare fait vaciller InternetUne panne de Cloudflare a entraîné l'indisponibilité de près de 20 % du web mondial pendant plusieurs heures. L'incident rappelle à quel point l'infrastructure Internet reste fragile, malgré sa complexité. Pourtant, la réaction globale a été étonnamment calme, comme si une forme de résilience collective s'était installée face à ces aléas devenus presque banals.L'Europe veut réformer sa régulation numériqueBruno et Jérôme abordent également le projet d'« omnibus numérique », un texte en préparation à Bruxelles. Objectif : simplifier le millefeuille réglementaire européen – RGPD, AI Act, ePrivacy, etc. – et alléger certaines contraintes, notamment autour des bannières cookies. Mais la crainte d'un détricotage des protections fondamentales demeure, et les soupçons de lobbying américain planent sur cette volonté de réforme.Windows fête ses 40 ansPetit clin d'œil historique : Windows a 40 ans. L'occasion pour les deux chroniqueurs de se remémorer les débuts de l'interface graphique sur PC, quand il fallait encore taper des commandes en ligne de code pour la lancer. Une nostalgie assumée.-----------♥️ Soutien : https://mondenumerique.info/don

This week, the European Commission unveiled a sweeping plan to overhaul how the EU enforces its digital and privacy rules as part of a ‘Digital Omnibus,' aiming to ease compliance burdens and speed up implementation of the bloc's landmark laws. Branded as a “simplification” initiative, the omnibus proposal touches core areas of EU tech regulation — notably the AI Act and the General Data Protection Regulation (GDPR).The Commission argues that this update is necessary to ensure practical implementation of the laws, but civil society organizations see the proposed reform as the “biggest rollback of digital fundamental rights in EU history.”At the same time, leaders are talking loudly about digital sovereignty — including at last week's summit in Berlin. But with the Omnibus appearing to weaken protections and tilt power toward large tech firms, what kind of sovereignty is actually being built?Tech Policy Press associate editor Ramsha Jahangir spoke to two experts to understand what the EU is trying to achieve:Leevi Saari, EU Policy Fellow at AI Now InstituteJulia Smakman, Senior Researcher at the Ada Lovelace Institute

In this episode, we start by discussing Greg's trip to India and the upcoming India AI Impact Summit in February 2026 (00:29). We then unpack the Trump Administration's draft executive order to preempt state AI laws (07:46) and break down the European Commission's new “digital omnibus” package, including proposed adjustments to the AI Act and broader regulatory simplification efforts (17:51). Finally, we discuss Anthropic's report on a China-backed “highly sophisticated cyber espionage campaign" using Claude and the mixed reactions from cybersecurity and AI policy experts (37:37).

Torniamo ad occuparci di intelligenza artificiale con Luca Mari, docente all'Università Liuc di Castellanza ed esperto di IA.La Commissione europea ha annunciato un rinvio di 16 mesi per l'applicazione delle norme dell'Ai Act relative ai sistemi ad alto rischio. Vediamo il perché e le implicazioni di questa decisione assieme a Innocenzo Genna, esperto di regolamentazione europea in ambito digitale.Servizi di mobilità urbana basati sulla guida remota, come funzionano, che tecnologie applicano e quali prospettive offrono. Lo spiega Fabrizio Ugo Scelsi, Chief Technology Officer e cofondatore della scaleup Vay che ha recentemente raccolto capitali freschi per un valore di 60 milioni di dollari.E come sempre in Digital News le notizie di innovazione e tecnologia più importanti della settimana.

The European Commission, backed strongly by France and Germany, is preparing to roll out a sweeping “digital simplification” package. This Wednesday the Commission will present a major omnibus plan to simplify digital rules, everything from data protection to the freshly minted AI Act.Officials call it a way to ease burdens on European companies. Critics including MEPs, NGOs, and a good number of lawyers, say it's more like opening Pandora's box. But what does this digital simplification mean?Join us on our journey through the events that shape the European continent and the European Union.Production: By Europod, in co production with Sphera Network.Follow us on:LinkedInInstagram Hosted on Acast. See acast.com/privacy for more information.

Dans cet épisode, Emmanuel, Katia et Guillaume discutent de Spring 7, Quarkus, d'Infinispan et Keycloak. On discute aussi de projets sympas comme Javelit, de comment démarre une JVM, du besoin d'argent de NTP. Et puis on discute du changement de carrière d'Emmanuel. Enregistré le 14 novembre 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-332.mp3 ou en vidéo sur YouTube. News Emmanuel quitte Red Hat après 20 ans https://emmanuelbernard.com/blog/2025/11/13/leaving-redhat/ Langages Support HTTP/3 dans le HttpClient de JDK 26 - https://inside.java/2025/10/22/http3-support/ JDK 26 introduit le support de HTTP/3 dans l'API HttpClient existante depuis Java 11 HTTP/3 utilise le protocole QUIC sur UDP au lieu de TCP utilisé par HTTP/2 Par défaut HttpClient préfère HTTP/2, il faut explicitement configurer HTTP/3 avec Version.HTTP_3 Le client effectue automatiquement un downgrade vers HTTP/2 puis HTTP/1.1 si le serveur ne supporte pas HTTP/3 On peut forcer l'utilisation exclusive de HTTP/3 avec l'option H3_DISCOVERY en mode HTTP_3_URI_ONLY HttpClient apprend qu'un serveur supporte HTTP/3 via le header alt-svc (RFC 7838) et utilise cette info pour les requêtes suivantes La première requête peut utiliser HTTP/2 même avec HTTP/3 préféré, mais la seconde utilisera HTTP/3 si le serveur l'annonce L'équipe OpenJDK encourage les tests et retours d'expérience sur les builds early access de JDK 26 Librairies Eclispe Jetty et CometD changent leurs stratégie de support https://webtide.com/end-of-life-changes-to-eclipse-jetty-and-cometd/ À partir du 1er janvier 2026, Webtide ne publiera plus Jetty 9/10/11 et CometD 5/6/7 sur Maven Central Pendant 20 ans, Webtide a financé les projets Jetty et CometD via services et support, publiant gratuitement les mises à jour EOL Le comportement des entreprises a changé : beaucoup cherchent juste du gratuit plutôt que du véritable support Des sociétés utilisent des versions de plus de 10 ans sans migrer tant que les correctifs CVE sont gratuits Cette politique gratuite a involontairement encouragé la complaisance et retardé les migrations vers versions récentes MITRE développe des changements au système CVE pour mieux gérer les concepts d'EOL Webtide lance un programme de partenariat avec TuxCare et HeroDevs pour distribuer les résolutions CVE des versions EOL Les binaires EOL seront désormais distribués uniquement aux clients commerciaux et via le réseau de partenaires Webtide continue le support standard open-source : quand Jetty 13 sortira, Jetty 12.1 recevra des mises à jour pendant 6 mois à un an Ce changement vise à clarifier la politique EOL avec une terminologie industrielle établie Améliorations cloud du SDK A2A Java https://quarkus.io/blog/quarkus-a2a-cloud-enhancements/ Version 0.3.0.Final du SDK A2A Java apporte des améliorations pour les environnements cloud et distribués Composants en mémoire remplacés par des implémentations persistantes et répliquées pour environnements multi-instances JpaDatabaseTaskStore et JpaDatabasePushNotificationConfigStore permettent la persistance des tâches et configurations en base PostgreSQL ReplicatedQueueManager assure la réplication des événements entre instances A2A Agent via Kafka et MicroProfile Reactive Messaging Exemple complet de déploiement Kubernetes avec Kind incluant PostgreSQL, Kafka via Strimzi, et load balancing entre pods Démonstration pratique montrant que les messages peuvent être traités par différents pods tout en maintenant la cohérence des tâches Architecture inspirée du SDK Python A2A, permettant la gestion de tâches asynchrones longues durée en environnement distribué Quarkus 3.29 sort avec des backends de cache multiples et support du débogueur Qute https://quarkus.io/blog/quarkus-3-29-released/ Possibilité d'utiliser plusieurs backends de cache simultanément dans une même application Chaque cache peut être associé à un backend spécifique (par exemple Caffeine et Redis ou Infinispan) Support du Debug Adapter Protocol (DAP) pour déboguer les templates Qute directement dans l'IDE et dans la version 3.28 Configuration programmatique de la protection CSRF via une API fluent Possibilité de restreindre les filtres OIDC à des flux d'authentification spécifiques avec annotations Support des dashboards Grafana personnalisés via fichiers JSON dans META-INF/grafana/ Extension Liquibase MongoDB supporte désormais plusieurs clients simultanés Amélioration significative des performances de build avec réduction des allocations mémoire Parallélisation de tâches comme la génération de proxies Hibernate ORM et la construction des Jar Et l'utilisation des fichiers .proto est plus simple dans Quarkus avbec Quarkus gRPC Zero https://quarkus.io/blog/grpc-zero/ c'est toujours galere des fichiers .proto car les generateurs demandent des executables natifs maintenant ils sont bundlés dans la JVM et vous n'avez rien a configurer cela utilise Caffeine pour faire tourner cela en WASM dans la JVM Spring AI 1.1 est presque là https://spring.io/blog/2025/11/08/spring-ai-1-1-0-RC1-available-now support des MCP tool caching pour les callback qui reduit les iooerations redondantes Access au contenu de raisonnement OpenAI Un modele de Chat MongoDB Support du modele de penser Ollama Reessaye sur les echec de reseau OpenAI speech to text Spring gRPC Les prochaines étapes pour la 1.0.0 https://spring.io/blog/2025/11/05/spring-grpc-next-steps Spring gRPC 1.0 arrive prochainement avec support de Spring Boot 4 L'intégration dans Spring Boot 4.0 est reportée, prévue pour Spring Boot 4.1 Les coordonnées Maven restent sous org.springframework.grpc pour la version 1.0 Le jar spring-grpc-test est renommé en spring-grpc-test-spring-boot-autoconfigure Les packages d'autoconfiguration changent de nom nécessitant de modifier les imports Les dépendances d'autoconfiguration seront immédiatement dépréciées après la release 1.0 Migration minimale attendue pour les projets utilisant déjà la version 0.x La version 1.0.0-RC1 sera publiée dès que possible avant la version finale Spring arrete le support reactif d'Apache Pulsar https://spring.io/blog/2025/10/29/spring-pulsar-reactive-discontinued logique d'évaluer le temps passé vs le nombre d'utilisateurs c'est cependant une tendance qu'on a vu s'accélerer Spring 7 est sorti https://spring.io/blog/2025/11/13/spring-framework-7-0-general-availability Infrastructure Infinispan 16.0 https://infinispan.org/blog/2025/11/10/infinispan-16-0 Ajout majeur : migration en ligne sans interruption pour les nœuds d'un cluster (rolling upgrades) (infinispan.org) Messages de clustering refaits avec Protocol Buffers + ProtoStream : meilleure compatibilité, schéma évolutif garanti (infinispan.org) Console Web améliorée API dédiée de gestion des schémas (SchemasAdmin) pour gérer les schémas ProtoStream à distance (infinispan.org) Module de requête (query) optimisé : support complet des agrégations (sum, avg …) dans les requêtes indexées en cluster grâce à l'intégration de Hibernate Search 8.1 (infinispan.org) Serveur : image conteneur minimalisée pour réduire la surface d'attaque (infinispan.org) démarrage plus rapide grâce à séparation du démarrage cache/serveur (infinispan.org) caches pour connecteurs (Memcached, RESP) créés à la demande (on-demand) et non à l'initiaton automatique (infinispan.org) moteur Lua 5.1 mis à jour avec corrections de vulnérabilités et opérations dangereuses désactivées (infinispan.org) Support JDK : version minimale toujours JDK 17 (infinispan.org) prise en charge des threads virtuels (virtual threads) et des fonctionnalités AOT (Ahead-of-Time) de JDK plus récentes (infinispan.org) Web Javelit, une nouvelle librairie Java inspirée de Streamlit pour faire facilement et rapidement des petites interfaces web https://glaforge.dev/posts/2025/10/24/javelit-to-create-quick-interactive-app-frontends-in-java/ Site web du projet : https://javelit.io/ Javelit : outil pour créer rapidement des applications de données (mais pas que) en Java. Simplifie le développement : élimine les tracas du frontend et de la gestion des événements. Transforme une classe Java en application web en quelques minutes. Inspiré par la simplicité de Streamlit de l'écosystème Python (ou Gradio et Mesop), mais pour Java. Développement axé sur la logique : pas de code standard répétitif (boilerplate), rechargement à chaud. Interactions faciles : les widgets retournent directement leur valeur, sans besoin de HTML/CSS/JS ou gestion d'événements. Déploiement flexible : applications autonomes ou intégrables dans des frameworks Java (Spring, Quarkus, etc.). L'article de Guillaume montre comment créer une petite interface pour créer et modifier des images avec le modèle génératif Nano Banana Un deuxième article montre comment utiliser Javelit pour créer une interface de chat avec LangChain4j https://glaforge.dev/posts/2025/10/25/creating-a-javelit-chat-interface-for-langchain4j/ Améliorer l'accessibilité avec les applis JetPack Compose https://blog.ippon.fr/2025/10/29/rendre-son-application-accessible-avec-jetpack-compose/ TalkBack est le lecteur d'écran Android qui vocalise les éléments sélectionnés pour les personnes malvoyantes Accessibility Scanner et les outils Android Studio détectent automatiquement les problèmes d'accessibilité statiques Les images fonctionnelles doivent avoir un contentDescription, les images décoratives contentDescription null Le contraste minimum requis est de 4.5:1 pour le texte normal et 3:1 pour le texte large ou les icônes Les zones cliquables doivent mesurer au minimum 48dp x 48dp pour faciliter l'interaction Les formulaires nécessitent des labels visibles permanents et non de simples placeholders qui disparaissent Modifier.semantics permet de définir l'arbre sémantique lu par les lecteurs d'écran Les propriétés mergeDescendants et traversalIndex contrôlent l'ordre et le regroupement de la lecture Diriger le navigateur Chrome avec le modèle Gemini Computer Use https://glaforge.dev/posts/2025/11/03/driving-a-web-browser-with-gemini-computer-use-model-in-java/ Objectif : Automatiser la navigation web en Java avec le modèle "Computer Use" de Gemini 2.5 Pro. Modèle "Computer Use" : Gemini analyse des captures d'écran et génère des actions d'interface (clic, saisie, etc.). Outils : Gemini API, Java, Playwright (pour l'interaction navigateur). Fonctionnement : Boucle agent où Gemini reçoit une capture, propose une action, Playwright l'exécute, puis une nouvelle capture est envoyée à Gemini. Implémentation clé : Toujours envoyer une capture d'écran à Gemini après chaque action pour qu'il comprenne l'état actuel. Défis : Lenteur, gestion des CAPTCHA et pop-ups (gérables). Potentiel : Automatisation des tâches web répétitives, création d'agents autonomes. Data et Intelligence Artificielle Apicurio ajoute le support de nouveaux schema sans reconstruire Apicurio https://www.apicur.io/blog/2025/10/27/custom-artifact-types Apicurio Registry 3.1.0 permet d'ajouter des types d'artefacts personnalisés au moment du déploiement sans recompiler le projet Supporte nativement OpenAPI, AsyncAPI, Avro, JSON Schema, Protobuf, GraphQL, WSDL et XSD Trois approches d'implémentation disponibles : classes Java pour la performance maximale, JavaScript/TypeScript pour la facilité de développement, ou webhooks pour une flexibilité totale Configuration via un simple fichier JSON pointant vers les implémentations des composants personnalisés Les scripts JavaScript sont exécutés via QuickJS dans un environnement sandboxé sécurisé Un package npm TypeScript fournit l'autocomplétion et la sécurité de type pour le développement Six composants optionnels configurables : détection automatique de type, validation, vérification de compatibilité, canonicalisation, déréférencement et recherche de références Cas d'usage typiques : formats propriétaires internes, support RAML, formats legacy comme WADL, schémas spécifiques à un domaine métier Déploiement simple via Docker en montant les fichiers de configuration et scripts comme volumes Les performances varient selon l'approche : Java offre les meilleures performances, JavaScript un bon équilibre, webhooks la flexibilité maximale Le truc interessant c'est que c'est Quarkus based et donc demandait le rebuilt donc pour eviter cela, ils ont ajouter QuickJS via Chicorey un moteur WebAssembly GPT 5.1 pour les développeurs est sorti. https://openai.com/index/gpt-5-1-for-developers/ C'est le meilleur puisque c'est le dernier :slightly_smiling_face: Raisonnement Adaptatif et Efficace : GPT-5.1 ajuste dynamiquement son temps de réflexion en fonction de la complexité de la tâche, le rendant nettement plus rapide et plus économique en jetons pour les tâches simples, tout en maintenant des performances de pointe sur les tâches difficiles. Nouveau Mode « Sans Raisonnement » : Un mode (reasoning_effort='none') a été introduit pour les cas d'utilisation sensibles à la latence, permettant une réponse plus rapide avec une intelligence élevée et une meilleure exécution des outils. Cache de Prompt Étendu : La mise en cache des invites est étendue jusqu'à 24 heures (contre quelques minutes auparavant), ce qui réduit la latence et le coût pour les interactions de longue durée (chats multi-tours, sessions de codage). Les jetons mis en cache sont 90 % moins chers. Améliorations en Codage : Le modèle offre une meilleure personnalité de codage, une qualité de code améliorée et de meilleures performances sur les tâches d'agenticité de code, atteignant 76,3 % sur SWE-bench Verified. Nouveaux Outils pour les Développeurs : Deux nouveaux outils sont introduits ( https://cookbook.openai.com/examples/build_a_coding_agent_with_gpt-5.1 ) : L'outil apply_patch pour des modifications de code plus fiables via des diffs structurés. L'outil shell qui permet au modèle de proposer et d'exécuter des commandes shell sur une machine locale, facilitant les boucles d'inspection et d'exécution. Disponibilité : GPT-5.1 (ainsi que les modèles gpt-5.1-codex) est disponible pour les développeurs sur toutes les plateformes API payantes, avec les mêmes tarifs et limites de débit que GPT-5. Comparaison de similarité d'articles et de documents avec les embedding models https://glaforge.dev/posts/2025/11/12/finding-related-articles-with-vector-embedding-models/ Principe : Convertir les articles en vecteurs numériques ; la similarité sémantique est mesurée par la proximité de ces vecteurs. Démarche : Résumé des articles via Gemini-2.5-flash. Conversion des résumés en vecteurs (embeddings) par Gemini-embedding-001. Calcul de la similarité entre vecteurs par similarité cosinus. Affichage des 3 articles les plus pertinents (>0.75) dans le frontmatter Hugo. Bilan : Approche "résumé et embedding" efficace, pragmatique et améliorant l'engagement des lecteurs. Outillage Composer : Nouveau modèle d'agent rapide pour l'ingénierie logicielle - https://cursor.com/blog/composer Composer est un modèle d'agent conçu pour l'ingénierie logicielle qui génère du code quatre fois plus rapidement que les modèles similaires Le modèle est entraîné sur de vrais défis d'ingénierie logicielle dans de grandes bases de code avec accès à des outils de recherche et d'édition Il s'agit d'un modèle de type mixture-of-experts optimisé pour des réponses interactives et rapides afin de maintenir le flux de développement L'entraînement utilise l'apprentissage par renforcement dans divers environnements de développement avec des outils comme la lecture de fichiers, l'édition, les commandes terminal et la recherche sémantique Cursor Bench est un benchmark d'évaluation basé sur de vraies demandes d'ingénieurs qui mesure la correction et le respect des abstractions du code existant Le modèle apprend automatiquement des comportements utiles comme effectuer des recherches complexes, corriger les erreurs de linter et écrire des tests unitaires L'infrastructure d'entraînement utilise PyTorch et Ray avec des kernels MXFP8 pour entraîner sur des milliers de GPUs NVIDIA Le système exécute des centaines de milliers d'environnements de codage sandboxés concurrents dans le cloud pour l'entraînement Composer est déjà utilisé quotidiennement par les développeurs de Cursor pour leur propre travail Le modèle se positionne juste derrière GPT-5 et Sonnet 4.5 en termes de performance sur les benchmarks internes Rex sur l'utilisation de l'IA pour les développeurs, un gain de productivité réel et des contextes adaptés https://mcorbin.fr/posts/2025-10-17-genai-dev/ Un développeur avec 18 ans d'expérience partage son retour sur l'IA générative après avoir changé d'avis Utilise exclusivement Claude Code dans le terminal pour coder en langage naturel Le "vibe coding" permet de générer des scripts et interfaces sans regarder le code généré Génération rapide de scripts Python pour traiter des CSV, JSON ou créer des interfaces HTML Le mode chirurgien résout des bugs complexes en one-shot, exemple avec un plugin Grafana fixé en une minute Pour le code de production, l'IA génère les couches repository, service et API de manière itérative, mais le dev controle le modele de données Le développeur relit toujours le code et ajuste manuellement ou via l'IA selon le besoin L'IA ne remplacera pas les développeurs car la réflexion, conception et expertise technique restent essentielles La construction de produits robustes, scalables et maintenables nécessite une expérience humaine L'IA libère du temps sur les tâches répétitives et permet de se concentrer sur les aspects complexes ce que je trouve interessant c'est la partie sur le code de prod effectivement, je corrige aussi beaucoup les propositions de l'IA en lui demandant de faire mieux dans tel ou tel domaine Sans guide, tout cela serait perdu Affaire a suivre un article en parallele sur le métier de designer https://blog.ippon.fr/2025/11/03/lia-ne-remplace-pas-un-designer-elle-amplifie-la-difference-entre-faire-et-bien-faire/ Plus besoin de se rappeler les racourcis dans IntelliJ idea avec l'universal entry point https://blog.jetbrains.com/idea/2025/11/universal-entry-point-a-single-entry-point-for-context-aware-coding-assistance/ IntelliJ IDEA introduit Command Completion, une nouvelle façon d'accéder aux actions de l'IDE directement depuis l'éditeur Fonctionne comme la complétion de code : tapez point (.) pour voir les actions contextuelles disponibles Tapez double point (..) pour filtrer et n'afficher que les actions disponibles Propose des corrections, refactorings, génération de code et navigation selon le contexte Complète les fonctionnalités existantes sans les remplacer : raccourcis, Alt+Enter, Search Everywhere Facilite la découverte des fonctionnalités de l'IDE sans interrompre le flux de développement En Beta dans la version 2025.2, sera activé par défaut dans 2025.3 Support actuel pour Java et Kotlin, avec actions spécifiques aux frameworks comme Spring et Hibernate Homebrew, package manage pour macOS et Linux passe en version 5 https://brew.sh/2025/11/12/homebrew-5.0.0/ Téléchargements Parallèles par Défaut : Le paramètre HOMEBREW_DOWNLOAD_CONCURRENCY=auto est activé par défaut, permettant des téléchargements concurrents pour tous les utilisateurs, avec un rapport de progression. Support Linux ARM64/AArch64 en Tier 1 : Le support pour Linux ARM64/AArch64 a été promu au niveau "Tier 1" (support officiel de premier plan). Feuille de Route pour les Dépréciations macOS : Septembre 2026 (ou plus tard) : Homebrew ne fonctionnera plus sur macOS Catalina (10.15) et versions antérieures. macOS Intel (x86_64) passera en "Tier 3" (fin du support CI et des binaires précompilés/bottles). Septembre 2027 (ou plus tard) : Homebrew ne fonctionnera plus sur macOS Big Sur (11) sur Apple Silicon ni du tout sur Intel (x86_64). Sécurité et Casks : Dépréciation des Casks sans signature de code. Désactivation des Casks échouant aux vérifications Gatekeeper en septembre 2026. Les options --no-quarantine et --quarantine sont dépréciés pour ne plus faciliter le contournement des fonctionnalités de sécurité de macOS. Nouvelles Fonctionnalités & Améliorations : Support officiel pour macOS 26 (Tahoe). brew bundle supporte désormais l'installation de packages Go via un Brewfile. Ajout de la commande brew info --sizes pour afficher la taille des formulae et casks. La commande brew search --alpine permet de chercher des packages Alpine Linux. Architecture Selon l'analyste RedMonk, Java reste très pertinent dans l'aire de l'IA et des agents https://redmonk.com/jgovernor/java-relevance-in-the-ai-era-agent-frameworks-emerge/ Java reste pertinent à l'ère de l'IA, pas besoin d'apprendre une pile technique entièrement nouvelle. Capacité d'adaptation de Java ("anticorps") aux innovations (Big Data, cloud, IA), le rendant idéal pour les contextes d'entreprise. L'écosystème JVM offre des avantages sur Python pour la logique métier et les applications sophistiquées, notamment en termes de sécurité et d'évolutivité. Embabel (par Rod Johnson, créateur de Spring) : un framework d'agents fortement typé pour JVM, visant le déterminisme des projets avant la génération de code par LLM. LangChain4J : facilite l'accès aux capacités d'IA pour les développeurs Java, s'aligne sur les modèles d'entreprise établis et permet aux LLM d'appeler des méthodes Java. Koog (Jetbrains) : framework d'agents basé sur Kotlin, typé et spécifique aux développeurs JVM/Kotlin. Akka : a pivoté pour se concentrer sur les flux de travail d'agents IA, abordant la complexité, la confiance et les coûts des agents dans les systèmes distribués. Le Model Context Protocol (MCP) est jugé insuffisant, manquant d'explicabilité, de découvrabilité, de capacité à mélanger les modèles, de garde-fous, de gestion de flux, de composabilité et d'intégration sécurisée. Les développeurs Java sont bien placés pour construire des applications compatibles IA et intégrer des agents. Des acteurs majeurs comme IBM, Red Hat et Oracle continuent d'investir massivement dans Java et son intégration avec l'IA. Sécurité AI Deepfake, Hiring … A danger réel https://www.eu-startups.com/2025/10/european-startups-get-serious-about-deepfakes-as-ai-fraud-losses-surpass-e1-3-billion/ Pertes liées aux deepfakes en Europe : > 1,3 milliard € (860 M € rien qu'en 2025). Création de deepfakes désormais possible pour quelques euros. Fraudes : faux entretiens vidéo, usurpations d'identité, arnaques diverses. Startups actives : Acoru, IdentifAI, Trustfull, Innerworks, Keyless (détection et prévention). Réglementation : AI Act et Digital Services Act imposent transparence et contrôle. Recommandations : vérifier identités, former employés, adopter authentification multi-facteurs. En lien : https://www.techmonitor.ai/technology/cybersecurity/remote-hiring-cybersecurity 1 Candidat sur 4 sera Fake en 2028 selon Gartner research https://www.gartner.com/en/newsroom/press-releases/2025-07-31-gartner-survey-shows-j[…]-percent-of-job-applicants-trust-ai-will-fairly-evaluate-them Loi, société et organisation Amazon - prévoit supprimer 30.000 postes https://www.20minutes.fr/economie/4181936-20251028-amazon-prevoit-supprimer-30-000-emplois-bureau-selon-plusieurs-medias Postes supprimés : 30 000 bureaux Part des effectifs : ~10 % des employés corporatifs Tranche confirmée : 14 000 postes Divisions touchées : RH, Opérations, Devices & Services, Cloud Motifs : sur-recrutement, bureaucratie, automatisation/IA Accompagnement : 90 jours pour poste interne + aides Non concernés : entrepôts/logistique Objectif : concentrer sur priorités stratégiques NTP a besoin d'argent https://www.ntp.org/ Il n'est que le protocole qui synchronise toutes les machines du monde La fondation https://www.nwtime.org/ recherche 11000$ pour maintenir son activité Rubrique débutant Une plongée approfondie dans le démarrage de la JVM https://inside.java/2025/01/28/jvm-start-up La JVM effectue une initialisation complexe avant d'exécuter le code : validation des arguments, détection des ressources système et sélection du garbage collector approprié Le chargement de classes suit une stratégie lazy où chaque classe charge d'abord ses dépendances dans l'ordre de déclaration, créant une chaîne d'environ 450 classes même pour un simple Hello World La liaison de classes comprend trois sous-processus : vérification de la structure, préparation avec initialisation des champs statiques à leurs valeurs par défaut, et résolution des références symboliques du Constant Pool Le CDS améliore les performances au démarrage en fournissant des classes pré-vérifiées, réduisant le travail de la JVM L'initialisation de classe exécute les initialiseurs statiques via la méthode spéciale clinit générée automatiquement par javac Le Project Leyden introduit la compilation AOT dans JDK 24 pour réduire le temps de démarrage en effectuant le chargement et la liaison de classes en avance de phase Pas si débutant finalement Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 15-16 novembre 2025 : Capitole du Libre - Toulouse (France) 19 novembre 2025 : SREday Paris 2025 Q4 - Paris (France) 19-21 novembre 2025 : Agile Grenoble - Grenoble (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 24 novembre 2025 : Forward Data & AI Conference - Paris (France) 27 novembre 2025 : DevFest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 1-2 décembre 2025 : Tech Rocks Summit 2025 - Paris (France) 4-5 décembre 2025 : Agile Tour Rennes - Rennes (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 9-11 décembre 2025 : APIdays Paris - Paris (France) 9-11 décembre 2025 : Green IO Paris - Paris (France) 10-11 décembre 2025 : Devops REX - Paris (France) 10-11 décembre 2025 : Open Source Experience - Paris (France) 11 décembre 2025 : Normandie.ai 2025 - Rouen (France) 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 22 janvier 2026 : DevCon #26 : sécurité / post-quantique / hacking - Paris (France) 29-31 janvier 2026 : Epitech Summit 2026 - Paris - Paris (France) 2-5 février 2026 : Epitech Summit 2026 - Moulins - Moulins (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 3-4 février 2026 : Epitech Summit 2026 - Lille - Lille (France) 3-4 février 2026 : Epitech Summit 2026 - Mulhouse - Mulhouse (France) 3-4 février 2026 : Epitech Summit 2026 - Nancy - Nancy (France) 3-4 février 2026 : Epitech Summit 2026 - Nantes - Nantes (France) 3-4 février 2026 : Epitech Summit 2026 - Marseille - Marseille (France) 3-4 février 2026 : Epitech Summit 2026 - Rennes - Rennes (France) 3-4 février 2026 : Epitech Summit 2026 - Montpellier - Montpellier (France) 3-4 février 2026 : Epitech Summit 2026 - Strasbourg - Strasbourg (France) 3-4 février 2026 : Epitech Summit 2026 - Toulouse - Toulouse (France) 4-5 février 2026 : Epitech Summit 2026 - Bordeaux - Bordeaux (France) 4-5 février 2026 : Epitech Summit 2026 - Lyon - Lyon (France) 4-6 février 2026 : Epitech Summit 2026 - Nice - Nice (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 17 juin 2026 : Devoxx Poland - Krakow (Poland) 11-12 juillet 2026 : DevLille 2026 - Lille (France) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Guest article by Paul Dongha . Co-author of Governing the Machine: How to navigate the risks of AI and unlock its true potential. Artificial Intelligence (AI) has moved beyond the realm of IT, it is now the defining strategic challenge for every modern organisation. The global rush to adopt AI is shifting from a sprint for innovation to a race for survival. Yet as businesses scramble to deploy powerful systems, from predictive analytics to generative AI, they risk unleashing a wave of unintended consequences that could cripple them. That warning sits at the heart of Governing the Machine: How to navigate the risks of AI and unlock its true potential, a timely new guide for business leaders. Governing the Machine The authors, Dr Paul Dongha, Ray Eitel-Porter, and Miriam Vogel, argue that the drive to embrace AI must be matched by an equally urgent determination to govern it. Drawing on extensive experience advising global boardrooms, they cut through technical jargon to focus on the organisational realities of AI risk. Their step-by-step approach shows how companies can build responsible AI capability, adopting new systems effectively without waiting for perfect regulation or fully mature technology. That wait-and-see strategy, they warn, is a losing one: delay risks irrelevance, while reckless deployment invites legal and reputational harm. The evidence is already visible in a growing list of AI failures, from discriminatory algorithms in public services to generative models fabricating news or infringing intellectual property. These are not abstract technical flaws but concrete business risks with real-world consequences. Whose problem is it anyway? According to the authors, it is everyone's. The book forcefully argues that AI governance cannot be siloed within the technology department. It demands a cross-enterprise approach, requiring active leadership driven from the C-suite, Legal counsel, Human Resources, Privacy and Information Security teams as well as frontline staff alike. Rather than just sounding the alarm, the book provides a practical framework for action. It guides readers through the steps of building a robust AI governance programme. This includes defining clear principles and policies, establishing accountability, and implementing crucial checkpoints. A core part of this framework is a clear-eyed look at the nine key risks organisations must manage: accuracy, fairness and bias, explainability, accountability, privacy, security, intellectual property, safety, and the impact on the workforce and environment. Each risk area is explained, and numerous controls that mitigate and manage these risks are listed with ample references to allow the interested reader to follow-up. Organisations should carefully consider implementing a Governance Risk and Compliance (GRC) system, which brings together all key aspects of AI governance. GRC systems are available, both from large tech companies and from specialist vendors. A GRC system ties together all key components of AI governance, providing management with a single view of their deployed AI systems, and a window into all stages of AI governance for systems under development. The book is populated with numerous case studies and interviews with senior executives from some of the largest and well-known origanisations in the world that are grappling with AI risk management. The authors also navigate the complex and rapidly evolving global regulatory landscape. With the European Union implementing its comprehensive AI Act and the United States advancing a fragmented patchwork of state and federal rules, a strong, adaptable internal governance system is presented as the only viable path forward. The EU AI Act, which has now come into force, with staggered compliance deadlines in the coming two years, requires all organisations that operate within the EU, to implement risk mitigation controls with evidence of compliance. A key date is August 2nd 2026, by which time all 'Hig...

In today's MadTech Daily, we cover Comcast looking to buy ITV's broadcast arm for £2bn, Apple nearing a USD$1bn deal to power a Siri overhaul with Google's Gemini AI, and the EU weakening its landmark AI Act amid Big Tech pressure.

A Mol és az OTP gyorsjelentéseivel foglalkoztunk, és a mélyére néztünk a legfrissebb számoknak, amelyek fogódzót jelenthetnek a befektetők számára, hogy vételben vagy eladásban gondolkodjanak. A témáról Nagy Viktor, a Portfolio vezető elemzője beszélt. A műsor második felében az uniós AI Act kapta a fókuszt, az Európai Bizottság ugyanis részben elhalasztaná a világon legszigorúbb AI-szabályozásának hatályba lépését, miután az Egyesült Államok és a nagy technológiai cégek intenzív nyomást gyakoroltak Brüsszelre. A döntés hátteréről és a hazai cégek AI Actből fakadó esetleges kötelezettségeiről is kérdeztük Petrányi Dórát, a CMS közép-kelet-európai régióért felelős ügyvezető igazgatóját. Főbb részek: Intro − (00:00) Jelentett a Mol és OTP is: venni vagy nem venni? − (02:26) EU AI Act: haladék a Big Technek − (14:15) Tőkepiaci kitekintő − (25:44) Kép forrása: Getty ImagesSee omnystudio.com/listener for privacy information.

Europa no solo inventó la pizza y el drama político: ahora quiere ponerle reglas a la inteligencia artificial. El AI Act no es un asunto lejano: si usas o vendes IA, podrías tener que cumplir aunque vivas a miles de kilómetros. Las multas llegan hasta 35 millones de euros. ¿La lección? La IA no es solo técnica… también es responsabilidad.#IAAplicada #LuisGyG #InteligenciaArtificial #AIAct #InnovaciónResponsableConviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/ia-aplicada-con-luisgyg--909634/support.

This week on the EUVC Podcast, Andreas Munk Holm sits down with Sebastian Peck, Partner at KOMPAS VC, Europe's leading specialist in industrial tech and the decarbonisation of manufacturing and the built world.KOMPAS VC is an early- and growth-stage venture capital firm backed by leading corporates, focused on transforming how the world builds, moves, and powers itself. With offices in London, Amsterdam, and Copenhagen, KOMPAS partners with startups and industrial leaders driving efficiency, automation, and decarbonisation across sectors like manufacturing, construction, energy, and mobility.With the firm gearing up for major announcements, Sebastian unpacks why industrial tech is finally having its moment in European VC — and why resilience, regulation, and risk appetite will determine whether Europe leads or lags.Here's what's covered:00:20 Defining Industrial Tech - Decarbonisation, productivity, and resilience: the three pillars driving transformation in Europe's industrial base.03:30 The Energy Debate: Transition vs pragmatism, nuclear's comeback, and Europe vs US vs China09:14 Fragmented Corporate Commitments: Nordics doubling down, US ambivalence, China scaling renewables fast11:21 AI in Industrial Tech: From power-hungry models to agentic AI: where real productivity gains are emerging and what's still hype.16:02 Robotics: Hype vs. reality: Why humanoid robots won't take over factories (yet) — and where automation truly moves the needle.21:57 Adoption Hurdles: Why industrial tech moves slower than SaaS, and how smart VCs help bridge the gap between pilots and production.24:37 AI & Jobs: Creative destruction or just destruction? How Europe, the US, and China are charting radically different paths.33:18 Regulation: Europe's protective instinct: how the EU's AI Act balances innovation with oversight - for better and for worse.40:27 Startups × Corporates: Why pilots fail, and how KOMPAS VC brokers real commercial traction44:48 KOMPAS VC Fund II: New bets, Makersite's standout Series B, and how the firm is deepening its industrial tech thesis.45:54 Specialist vs Generalist VCs: Why Europe needs deep domain VCs working alongside generalist syndicates to build lasting industry platforms.48:52 Magic Wand Policy: Pension capital reform and risk appetite as Europe's bottlenecks51:09 It's Not Founders, it's the Ecosystem: Employees, customers, regulators, and LPs — everyone needs to lean in if Europe is to lead.

Even without new comprehensive privacy laws passed in 2025, regulators have kept busy. California finalized major CCPA updates—introducing risk assessments, cybersecurity audits, and automated decision-making rules—while amendments and new state laws in Maryland, Indiana, Kentucky, and Rhode Island take effect soon. Colorado also extended the deadline for its AI Act. This episode breaks down what's changing, when key obligations begin, and why businesses need to start mapping their compliance timelines now. Hosted by Simone Roach. Based on a blog post by Aaron J. Burstein, Alexander I. Schneider, and Meaghan M. Donahue

Shocking new research reveals how anyone with $750 can intercept unencrypted satellite data, exposing everything from government secrets to in-flight Wi-Fi traffic. Find out why decades-old vulnerabilities are still open and who actually wants it that way. Study: The World's Satellite Data Is Massively Vulnerable To Snooping You Only Need $750 of Equipment to Pilfer Data From Satellites, Researchers Say Hackers Dox Hundreds of DHS, ICE, FBI, and DOJ Officials DHS says Chinese criminal gangs made $1B from US text scams cr.yp.to: 2025.10.04: NSA and IETF Why Signal's post-quantum makeover is an amazing engineering achievement Court reduces damages Meta will get from spyware maker NSO Group but bans it from WhatsApp How I Almost Got Hacked By A 'Job Interview' New California law requires AI to tell you it's AI The European Union issued its first fines under the AI Act, penalizing a French facial recognition startup €12 million for deploying unverified algorithms in public security contracts Wikipedia Says AI Is Causing a Dangerous Decline in Human Visitors Texas hit with a pair of lawsuits for its app store age verification requirements Australia shares tips to wean teens off social media ahead of ban. Will it work? California enacts age-gate law for app stores Meta is asking Facebook users to give its AI access to their entire camera roll Meta poached Andrew Tulloch, co-founder of Thinking Machines Lab, with a compensation package rumored to reach $1.5 billion over six years Even top generals are looking to AI chatbots for answers Roku's AI-upgraded voice assistant can answer questions about what you're watching Tesla debuts a steering wheel-less taxi for two Waymo and DoorDash Are Teaming Up to Deliver Your Food via Robotaxi Host: Leo Laporte Guests: Jacob Ward, Harper Reed, and Abrar Al-Heeti Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit ZipRecruiter.com/twit deel.com/twit zscaler.com/security zapier.com/twit

Shocking new research reveals how anyone with $750 can intercept unencrypted satellite data, exposing everything from government secrets to in-flight Wi-Fi traffic. Find out why decades-old vulnerabilities are still open and who actually wants it that way. Study: The World's Satellite Data Is Massively Vulnerable To Snooping You Only Need $750 of Equipment to Pilfer Data From Satellites, Researchers Say Hackers Dox Hundreds of DHS, ICE, FBI, and DOJ Officials DHS says Chinese criminal gangs made $1B from US text scams cr.yp.to: 2025.10.04: NSA and IETF Why Signal's post-quantum makeover is an amazing engineering achievement Court reduces damages Meta will get from spyware maker NSO Group but bans it from WhatsApp How I Almost Got Hacked By A 'Job Interview' New California law requires AI to tell you it's AI The European Union issued its first fines under the AI Act, penalizing a French facial recognition startup €12 million for deploying unverified algorithms in public security contracts Wikipedia Says AI Is Causing a Dangerous Decline in Human Visitors Texas hit with a pair of lawsuits for its app store age verification requirements Australia shares tips to wean teens off social media ahead of ban. Will it work? California enacts age-gate law for app stores Meta is asking Facebook users to give its AI access to their entire camera roll Meta poached Andrew Tulloch, co-founder of Thinking Machines Lab, with a compensation package rumored to reach $1.5 billion over six years Even top generals are looking to AI chatbots for answers Roku's AI-upgraded voice assistant can answer questions about what you're watching Tesla debuts a steering wheel-less taxi for two Waymo and DoorDash Are Teaming Up to Deliver Your Food via Robotaxi Host: Leo Laporte Guests: Jacob Ward, Harper Reed, and Abrar Al-Heeti Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit ZipRecruiter.com/twit deel.com/twit zscaler.com/security zapier.com/twit

Shocking new research reveals how anyone with $750 can intercept unencrypted satellite data, exposing everything from government secrets to in-flight Wi-Fi traffic. Find out why decades-old vulnerabilities are still open and who actually wants it that way. Study: The World's Satellite Data Is Massively Vulnerable To Snooping You Only Need $750 of Equipment to Pilfer Data From Satellites, Researchers Say Hackers Dox Hundreds of DHS, ICE, FBI, and DOJ Officials DHS says Chinese criminal gangs made $1B from US text scams cr.yp.to: 2025.10.04: NSA and IETF Why Signal's post-quantum makeover is an amazing engineering achievement Court reduces damages Meta will get from spyware maker NSO Group but bans it from WhatsApp How I Almost Got Hacked By A 'Job Interview' New California law requires AI to tell you it's AI The European Union issued its first fines under the AI Act, penalizing a French facial recognition startup €12 million for deploying unverified algorithms in public security contracts Wikipedia Says AI Is Causing a Dangerous Decline in Human Visitors Texas hit with a pair of lawsuits for its app store age verification requirements Australia shares tips to wean teens off social media ahead of ban. Will it work? California enacts age-gate law for app stores Meta is asking Facebook users to give its AI access to their entire camera roll Meta poached Andrew Tulloch, co-founder of Thinking Machines Lab, with a compensation package rumored to reach $1.5 billion over six years Even top generals are looking to AI chatbots for answers Roku's AI-upgraded voice assistant can answer questions about what you're watching Tesla debuts a steering wheel-less taxi for two Waymo and DoorDash Are Teaming Up to Deliver Your Food via Robotaxi Host: Leo Laporte Guests: Jacob Ward, Harper Reed, and Abrar Al-Heeti Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit ZipRecruiter.com/twit deel.com/twit zscaler.com/security zapier.com/twit

Shocking new research reveals how anyone with $750 can intercept unencrypted satellite data, exposing everything from government secrets to in-flight Wi-Fi traffic. Find out why decades-old vulnerabilities are still open and who actually wants it that way. Study: The World's Satellite Data Is Massively Vulnerable To Snooping You Only Need $750 of Equipment to Pilfer Data From Satellites, Researchers Say Hackers Dox Hundreds of DHS, ICE, FBI, and DOJ Officials DHS says Chinese criminal gangs made $1B from US text scams cr.yp.to: 2025.10.04: NSA and IETF Why Signal's post-quantum makeover is an amazing engineering achievement Court reduces damages Meta will get from spyware maker NSO Group but bans it from WhatsApp How I Almost Got Hacked By A 'Job Interview' New California law requires AI to tell you it's AI The European Union issued its first fines under the AI Act, penalizing a French facial recognition startup €12 million for deploying unverified algorithms in public security contracts Wikipedia Says AI Is Causing a Dangerous Decline in Human Visitors Texas hit with a pair of lawsuits for its app store age verification requirements Australia shares tips to wean teens off social media ahead of ban. Will it work? California enacts age-gate law for app stores Meta is asking Facebook users to give its AI access to their entire camera roll Meta poached Andrew Tulloch, co-founder of Thinking Machines Lab, with a compensation package rumored to reach $1.5 billion over six years Even top generals are looking to AI chatbots for answers Roku's AI-upgraded voice assistant can answer questions about what you're watching Tesla debuts a steering wheel-less taxi for two Waymo and DoorDash Are Teaming Up to Deliver Your Food via Robotaxi Host: Leo Laporte Guests: Jacob Ward, Harper Reed, and Abrar Al-Heeti Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit ZipRecruiter.com/twit deel.com/twit zscaler.com/security zapier.com/twit

Shocking new research reveals how anyone with $750 can intercept unencrypted satellite data, exposing everything from government secrets to in-flight Wi-Fi traffic. Find out why decades-old vulnerabilities are still open and who actually wants it that way. Study: The World's Satellite Data Is Massively Vulnerable To Snooping You Only Need $750 of Equipment to Pilfer Data From Satellites, Researchers Say Hackers Dox Hundreds of DHS, ICE, FBI, and DOJ Officials DHS says Chinese criminal gangs made $1B from US text scams cr.yp.to: 2025.10.04: NSA and IETF Why Signal's post-quantum makeover is an amazing engineering achievement Court reduces damages Meta will get from spyware maker NSO Group but bans it from WhatsApp How I Almost Got Hacked By A 'Job Interview' New California law requires AI to tell you it's AI The European Union issued its first fines under the AI Act, penalizing a French facial recognition startup €12 million for deploying unverified algorithms in public security contracts Wikipedia Says AI Is Causing a Dangerous Decline in Human Visitors Texas hit with a pair of lawsuits for its app store age verification requirements Australia shares tips to wean teens off social media ahead of ban. Will it work? California enacts age-gate law for app stores Meta is asking Facebook users to give its AI access to their entire camera roll Meta poached Andrew Tulloch, co-founder of Thinking Machines Lab, with a compensation package rumored to reach $1.5 billion over six years Even top generals are looking to AI chatbots for answers Roku's AI-upgraded voice assistant can answer questions about what you're watching Tesla debuts a steering wheel-less taxi for two Waymo and DoorDash Are Teaming Up to Deliver Your Food via Robotaxi Host: Leo Laporte Guests: Jacob Ward, Harper Reed, and Abrar Al-Heeti Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit ZipRecruiter.com/twit deel.com/twit zscaler.com/security zapier.com/twit

Shocking new research reveals how anyone with $750 can intercept unencrypted satellite data, exposing everything from government secrets to in-flight Wi-Fi traffic. Find out why decades-old vulnerabilities are still open and who actually wants it that way. Study: The World's Satellite Data Is Massively Vulnerable To Snooping You Only Need $750 of Equipment to Pilfer Data From Satellites, Researchers Say Hackers Dox Hundreds of DHS, ICE, FBI, and DOJ Officials DHS says Chinese criminal gangs made $1B from US text scams cr.yp.to: 2025.10.04: NSA and IETF Why Signal's post-quantum makeover is an amazing engineering achievement Court reduces damages Meta will get from spyware maker NSO Group but bans it from WhatsApp How I Almost Got Hacked By A 'Job Interview' New California law requires AI to tell you it's AI The European Union issued its first fines under the AI Act, penalizing a French facial recognition startup €12 million for deploying unverified algorithms in public security contracts Wikipedia Says AI Is Causing a Dangerous Decline in Human Visitors Texas hit with a pair of lawsuits for its app store age verification requirements Australia shares tips to wean teens off social media ahead of ban. Will it work? California enacts age-gate law for app stores Meta is asking Facebook users to give its AI access to their entire camera roll Meta poached Andrew Tulloch, co-founder of Thinking Machines Lab, with a compensation package rumored to reach $1.5 billion over six years Even top generals are looking to AI chatbots for answers Roku's AI-upgraded voice assistant can answer questions about what you're watching Tesla debuts a steering wheel-less taxi for two Waymo and DoorDash Are Teaming Up to Deliver Your Food via Robotaxi Host: Leo Laporte Guests: Jacob Ward, Harper Reed, and Abrar Al-Heeti Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit ZipRecruiter.com/twit deel.com/twit zscaler.com/security zapier.com/twit

My fellow pro-growth/progress/abundance Up Wingers,For most of history, stagnation — not growth — was the rule. To explain why prosperity so often stalls, economist Carl Benedikt Frey offers a sweeping tour through a millennium of innovation and upheaval, showing how societies either harness — or are undone by — waves of technological change. His message is sobering: an AI revolution is no guarantee of a new age of progress.Today on Faster, Please! — The Podcast, I talk with Frey about why societies midjudge their trajectory and what it takes to reignite lasting growth.Frey is a professor of AI and Work at the Oxford Internet Institute and a fellow of Mansfield College, University of Oxford. He is the director of the Future of Work Programme and Oxford Martin Citi Fellow at the Oxford Martin School.He is the author of several books, including the brand new one, How Progress Ends: Technology, Innovation, and the Fate of Nations.In This Episode* The end of progress? (1:28)* A history of Chinese innovation (8:26)* Global competitive intensity (11:41)* Competitive problems in the US (15:50)* Lagging European progress (22:19)* AI & labor (25:46)Below is a lightly edited transcript of our conversation. The end of progress? (1:28). . . once you exploit a technology, the processes that aid that run into diminishing returns, you have a lot of incumbents, you have some vested interests around established technologies, and you need something new to revive growth.Pethokoukis: Since 2020, we've seen the emergence of generative AI, mRNA vaccines, reusable rockets that have returned America to space, we're seeing this ongoing nuclear renaissance including advanced technologies, maybe even fusion, geothermal, the expansion of solar — there seems to be a lot cooking. Is worrying about the end of progress a bit too preemptive?Frey: Well in a way, it's always a bit too preemptive to worry about the future: You don't know what's going to come. But let me put it this way: If you had told me back in 1995 — and if I was a little bit older then — that computers and the internet would lead to a decade streak of productivity growth and then peter out, I would probably have thought you nuts because it's hard to think about anything that is more consequential. Computers have essentially given people the world's store of knowledge basically in their pockets. The internet has enabled us to connect inventors and scientists around the world. There are few tools that aided the research process more. There should hardly be any technology that has done more to boost scientific discovery, and yet we don't see it.We don't see it in the aggregate productivity statistics, so that petered out after a decade. Research productivity is in decline. Measures of breakthrough innovation is in decline. So it's always good to be optimistic, I guess, and I agree with you that, when you say AI and when you read about many of the things that are happening now, it's very, very exciting, but I remain somewhat skeptical that we are actually going to see that leading to a huge revival of economic growth.I would just be surprised if we don't see any upsurge at all, to be clear, but we do have global productivity stagnation right now. It's not just Europe, it's not just Britain. The US is not doing too well either over the past two decades or so. China's productivity is probably in the negative territory or stagnant, by more optimistic measures, and so we're having a growth problem.If tech progress were inevitable, why have predictions from the '90s, and certainly earlier decades like the '50s and '60s, about transformative breakthroughs and really fast economic growth by now, consistently failed to materialize? How does your thesis account for why those visions of rapid growth and progress have fallen short?I'm not sure if my thesis explains why those expectations didn't materialize, but I'm hopeful that I do provide some framework for thinking about why we've often seen historically rapid growth spurts followed by stagnation and even decline. The story I'm telling is not rocket science, exactly. It's basically built on the simple intuitions that once you exploit a technology, the processes that aid that run into diminishing returns, you have a lot of incumbents, you have some vested interests around established technologies, and you need something new to revive growth.So for example, the Soviet Union actually did reasonably well in terms of economic growth. A lot of it, or most of it, was centered on heavy industry, I should say. So people didn't necessarily see the benefits in their pockets, but the economy grew rapidly for about four decades or so, then growth petered out, and eventually it collapsed. So for exploiting mass-production technologies, the Soviet system worked reasonably well. Soviet bureaucrats could hold factory managers accountable by benchmarking performance across factories.But that became much harder when something new was needed because when something is new, what's the benchmark? How do you benchmark against that? And more broadly, when something is new, you need to explore, and you need to explore often different technological trajectories. So in the Soviet system, if you were an aircraft engineer and you wanted to develop your prototype, you could go to the red arm and ask for funding. If they turned you down, you maybe had two or three other options. If they turned you down, your idea would die with you.Conversely, in the US back in '99, Bessemer Venture declined to invest in Google, which seemed like a bad idea with the benefit of hindsight, but it also illustrates that Google was no safe bet at the time. Yahoo and Alta Vista we're dominating search. You need somebody to invest in order to know if something is going to catch on, and in a more decentralized system, you can have more people taking different bets and you can explore more technological trajectories. That is one of the reasons why the US ended up leading the computer revolutions to which Soviet contributions were basically none.Going back to your question, why didn't those dreams materialize? I think we've made it harder to explore. Part of the reason is protective regulation. Part of the reason is lobbying by incumbents. Part of the reason is, I think, a revolving door between institutions like the US patent office and incumbents where we see in the data that examiners tend to grant large firms some patents that are of low quality and then get lucrative jobs at those places. That's creating barriers to entry. That's not good for new startups and inventors entering the marketplace. I think that is one of the reasons that we haven't seen some of those dreams materialize.A history of Chinese innovation (8:26)So while Chinese bureaucracy enabled scale, Chinese bureaucracy did not really permit much in terms of decentralized exploration, which European fragmentation aided . . .I wonder if your analysis of pre-industrial China, if there's any lessons you can draw about modern China as far as the way in which bad governance can undermine innovation and progress?Pre-industrial China has a long history. China was the technology leader during the Song and Tang dynasties. It had a meritocratic civil service. It was building infrastructure on scales that were unimaginable in Europe at the time, and yet it didn't have an industrial revolution. So while Chinese bureaucracy enabled scale, Chinese bureaucracy did not really permit much in terms of decentralized exploration, which European fragmentation aided, and because there was lots of social status attached to becoming a bureaucrat and passing the civil service examination, if Galileo was born in China, he would probably become a bureaucrat rather than a scientist, and I think that's part of the reason too.But China mostly did well when the state was strong rather than weak. A strong state was underpinned by intensive political competition, and once China had unified and there were fewer peer competitors, you see that the center begins to fade. They struggle to tax local elites in order to keep the peace. People begin to erect monopolies in their local markets and collide with guilds to protect production and their crafts from competition.So during the Qing dynasty, China begins to decline, whereas we see the opposite happening in Europe. European fragmentation aids exploration and innovation, but it doesn't necessarily aid scaling, and so that is something that Europe needs to come to terms with at a later stage when the industrial revolution starts to take off. And even before that, market integration played an important role in terms of undermining the guilds in Europe, and so part of the reason why the guilds persist longer in China is the distance is so much longer between cities and so the guilds are less exposed to competition. In the end, Europe ends up overtaking China, in large part because vested interests are undercut by governments, but also because of investments in things that spur market integration.Global competitive intensity (11:41)Back in the 2000s, people predicted that China would become more like the United States, now it looks like the United States is becoming more like China.This is a great McKinsey kind of way of looking at the world: The notion that what drives innovation is sort of maximum competitive intensity. You were talking about the competitive intensity in both Europe and in China when it was not so centralized. You were talking about the competitive intensity of a fragmented Europe.Do you think that the current level of competitive intensity between the United States and China —and I really wish I could add Europe in there. Plenty of white papers, I know, have been written about Europe's competitive state and its in innovativeness, and I hope those white papers are helpful and someone reads them, but it seems to be that the real competition is between United States and China.Do you not think that that competitive intensity will sort of keep those countries progressing despite any of the barriers that might pop up and that you've already mentioned a little bit? Isn't that a more powerful tailwind than any of the headwinds that you've mentioned?It could be, I think, if people learn the right lessons from history, at least that's a key argument of the book. Right now, what I'm seeing is the United States moving more towards protectionist with protective tariffs. Right now, what I see is a move towards, we could even say crony capitalism with tariff exemptions that some larger firms that are better-connected to the president are able to navigate, but certainly not challengers. You're seeing the United States embracing things like golden shares in Intel, and perhaps even extending that to a range of companies. Back in the 2000s, people predicted that China would become more like the United States, now it looks like the United States is becoming more like China.And China today is having similar problems and on, I would argue, an even greater scale. Growth used to be the key objective in China, and so for local governments, provincial governments competing on such targets, it was fairly easy to benchmark and measure and hold provincial governors accountable, and they would be promoted inside the Communist Party based on meeting growth targets. Now, we have prioritized common prosperity, more national security-oriented concerns.And so in China, most progress has been driven by private firms and foreign-invested firms. State-owned enterprise has generally been a drag on innovation and productivity. What you're seeing, though, as China is shifting more towards political objectives, it's harder to mobilize private enterprise, where the yard sticks are market share and profitability, for political goals. That means that China is increasingly relying more again on state-owned enterprises, which, again, have been a drag on innovation.So, in principle, I agree with you that historically you did see Russian defeat to Napoleon leading to this Stein-Hardenberg Reforms, and the abolishment of Gilded restrictions, and a more competitive marketplace for both goods and ideas. You saw that Russian losses in the Crimean War led to the of abolition of serfdom, and so there are many times in history where defeat, in particular, led to striking reforms, but right now, the competition itself doesn't seem to lead to the kinds of reforms I would've hoped to see in response.Competitive problems in the US (15:50)I think what antitrust does is, at the very least, it provides a tool that means that businesses are thinking twice before engaging in anti-competitive behavior.I certainly wrote enough pieces and talked to enough people over the past decade who have been worried about competition in the United States, and the story went something like this: that you had these big tech companies — Google, and Meta, Facebook and Microsoft — that these were companies were what they would call “forever companies,” that they had such dominance in their core businesses, and they were throwing off so much cash that these were unbeatable companies, and this was going to be bad for America. People who made that argument just could not imagine how any other companies could threaten their dominance. And yet, at the time, I pointed out that it seemed to me that these companies were constantly in fear that they were one technological advance from being in trouble.And then lo and behold, that's exactly what happened. And while in AI, certainly, Google's super important, and Meta Facebook are super important, so are OpenAI, and so is Anthropic, and there are other companies.So the point here, after my little soliloquy, is can we overstate these problems, at least in the United States, when it seems like it is still possible to create a new technology that breaks the apparent stranglehold of these incumbents? Google search does not look quite as solid a business as it did in 2022.Can we overstate the competitive problems of the United States, or is what you're saying more forward-looking, that perhaps we overstated the competitive problems in the past, but now, due to these tariffs, and executives having to travel to the White House and give the president gifts, that that creates a stage for the kind of competitive problems that we should really worry about?I'm very happy to support the notion that technological changes can lead to unpredictable outcomes that incumbents may struggle to predict and respond to. Even if they predict it, they struggle to act upon it because doing so often undermines the existing business model.So if you take Google, where the transformer was actually conceived, the seven people behind it, I think, have since left the company. One of the reasons that they probably didn't launch anything like ChatGPT was probably for the fear of cannibalizing search. So I think the most important mechanisms for dislodging incumbents are dramatic shifts in technology.None of the legacy media companies ended up leading social media. None of the legacy retailers ended up leading e-commerce. None of the automobile leaders are leading in EVs. None of the bicycle companies, which all went into automobile, so many of them, ended up leading. So there is a pattern there.At the same time, I think you do have to worry that there are anti-competitive practices going on that makes it harder, and that are costly. The revolving door between the USPTO and companies is one example of that. We also have a reasonable amount of evidence on killer acquisitions whereby firms buy up a competitor just to shut it down. Those things are happening. I think you need to have tools that allow you to combat that, and I think more broadly, the United States has a long history of fairly vigorous antitrust policy. I think it'd be a hard pressed to suggest that that has been a tremendous drag on American business or American dynamism. So if you don't think, for example, that American antitrust policy has contributed to innovation and dynamism, at the very least, you can't really say either that it's been a huge drag on it.In Japan, for example, in its postwar history, antitrust was extremely lax. In the United States, it was very vigorous, and it was very vigorous throughout the computer revolution as well, which it wasn't at all in Japan. If you take the lawsuit against IBM, for example, you can debate this. To what extent did it force it to unbundle hardware and software, and would Microsoft been the company it is today without that? I think AT&T, it's both the breakup and it's deregulation, as well, but I think by basically all accounts, that was a good idea, particularly at the time when the National Science Foundation released ARPANET into the world.I think what antitrust does is, at the very least, it provides a tool that means that businesses are thinking twice before engaging in anti-competitive behavior. There's always a risk of antitrust being heavily politicized, and that's always been a bad idea, but at the same time, I think having tools on the books that allows you to check monopolies and steer their investments more towards the innovation rather than anti-competitive practices, I think is, broadly speaking, a good thing. I think in the European Union, you often hear that competition policy is a drag on productivity. I think it's the least of Europe's problem.Lagging European progress (22:19)If you take the postwar period, at least Europe catches up in most key industries, and actually lead in some of them. . . but doesn't do the same in digital. The question in my mind is: Why is that?Let's talk about Europe as we sort of finish up. We don't have to write How Progress Ends, it seems like progress has ended, so maybe we want to think about how progress restarts, and is the problem in Europe, is it institutions or is it the revealed preference of Europeans, that they're getting what they want? That they don't value progress and dynamism, that it is a cultural preference that is manifested in institutions? And if that's the case — you can tell me if that's not the case, I kind of feel like it might be the case — how do you restart progress in Europe since it seems to have already ended?The most puzzling thing to me is not that Europe is less dynamic than the United States — that's not very puzzling at all — but that it hasn't even managed to catch up in digital. If you take the postwar period, at least Europe catches up in most key industries, and actually lead in some of them. So in a way, take automobiles, electrical machinery, chemicals, pharmaceuticals, nobody would say that Europe is behind in those industries, or at least not for long. Europe has very robust catchup growth in the post-war period, but doesn't do the same in digital. The question in my mind is: Why is that?I think part of the reason is that the returns to innovation, the returns to scaling in Europe are relatively muted by a fragmented market in services, in particular. The IMF estimates that if you take all trade barriers on services inside the European Union and you add them up, it's something like 110 percent tariffs. Trump Liberation Day tariffs, essentially, imposed within European Union. That means that European firms in digital and in services don't have a harmonized market to scale into, the way the United States and China has. I think that's by far the biggest reason.On top of that, there are well-intentioned regulations like the GDPR that, by any account, has been a drag on innovation, and particularly been harmful for startups, whereas larger firms that find it easier to manage compliance costs have essentially managed to offset those costs by capturing a larger share of the market. I think the AI Act is going in the same direction there, ad so you have more hurdles, you have greater costs of innovating because of those regulatory barriers. And then the return to innovation is more capped by having a smaller, fragmented market.I don't think that culture or European lust for leisure rather than work is the key reason. I think there's some of that, but if you look at the most dynamic places in Europe, it tends to be the Scandinavian countries and, being from Sweden myself, I can tell you that most people you will encounter there are not workaholics.AI & labor (25:46)I think AI at the moment has a real resilience problem. It's very good that things where there's a lot of precedent, it doesn't do very well where precedence is thin.As I finish up, let me ask you: Like a lot of economists who think about technology, you've thought about how AI will affect jobs — given what we've seen in the past few years, would it be your guess that, if we were to look at the labor force participation rates of the United States and other rich countries 10 years from now, that we will look at those employment numbers and think, “Wow, we can really see the impact of AI on those numbers”? Will it be extraordinarily evident, or would it be not as much?Unless there's very significant progress in AI, I don't think so. I think AI at the moment has a real resilience problem. It's very good that things where there's a lot of precedent, it doesn't do very well where precedence is thin. So in most activities where the world is changing, and the world is changing every day, you can't really rely on AI to reliably do work for you.An example of that, most people know of AlphaGo beating the world champion back in 2016. Few people will know that, back in 2023, human amateurs, using standard laptops, exposing the best Go programs to new positions that they would not have encountered in training, actually beat the best Go programs quite easily. So even in a domain where basically the problem is solved, where we already achieved super-human intelligence, you cannot really know how well these tools perform when circumstances change, and I think that that's really a problem. So unless we solve that, I don't think it's going to have an impact that will mean that labor force participation is going to be significantly lower 10 years from now.That said, I do think it's going to have a very significant impact on white collar work, and people's income and sense of status. I think of generative AI, in particular, as a tool that reduces barriers to entry in professional services. I often compare it to what happened with Uber and taxi services. With the arrival of GPS technology, knowing the name of every street in New York City was no longer a particularly valuable skill, and then with a platform matching supply and demand, anybody could essentially get into their car who has a driver's license and top up their incomes on the side. As a result of that, incumbent drivers faced more competition, they took a pay cut of around 10 percent.Obviously, a key difference with professional services is that they're traded. So I think it's very likely that, as generative AI reduces the productivity differential between people in, let's say the US and the Philippines in financial modeling, in paralegal work, in accounting, in a host of professional services, more of those activities will shift abroad, and I think many knowledge workers that had envisioned prosperous careers may feel a sense of loss of status and income as a consequence, and I do think that's quite significant.On sale everywhere The Conservative Futurist: How To Create the Sci-Fi World We Were PromisedFaster, Please! is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit fasterplease.substack.com/subscribe

Today Dominic Bowen hosts Professor Adam Chalmers on The International Risk Podcast to explore the global race for leadership in artificial intelligence. They discuss the United States' AI Action Plan and China's AI Plus Plan, how these competing strategies reveal different models of governance, regulation, and ideology, and what this competition means for innovation, global influence, and risk. Together they examine how the U.S. approach emphasizes open innovation and technological dominance, how China's plan embeds ideology and state control, and how the European Union's AI Act represents a third path prioritizing human-centric regulation.Dominic and Adam also dive into the economic and geopolitical stakes of the AI race, from workforce disruption and re-skilling to public trust, data sovereignty, and the challenge of building safe and transparent AI systems. They explore how governments can manage risk while fostering innovation, how universities and industries must adapt to rapid change, and what it means for democracy and international stability as artificial intelligence becomes a driver of both progress and power.Professor Adam Chalmers is an Associate Professor of Politics at the University of Edinburgh, the CEO and Founder of Resonate AI, and a leading voice on the intersection of political economy, technology, and governance. He has advised governments and organizations on AI strategy and risk, and his work bridges academic research with practical solutions for emerging technologies.Drawing on his research and field experience, Adam explains how AI is reshaping global politics, why public trust and ethical frameworks will define its future, and how democracies can respond to the rapidly evolving risks of the digital age.The International Risk Podcast brings you conversations with global experts, frontline practitioners, and senior decision-makers who are shaping how we understand and respond to international risk. From geopolitical volatility and organised crime, to cybersecurity threats and hybrid warfare, each episode explores the forces transforming our world and what smart leaders must do to navigate them. Whether you're a board member, policymaker, or risk professional, The International Risk Podcast delivers actionable insights, sharp analysis, and real-world stories that matter.Dominic Bowen is the host of The International Risk Podcast and Europe's leading expert on international risk and crisis management. As Head of Strategic Advisory and Partner at one of Europe's leading risk management consulting firms, Dominic advises CEOs, boards, and senior executives across the continent on how to prepare for uncertainty and act with intent. He has spent decades working in war zones, advising multinational companies, and supporting Europe's business leaders. Dominic is the go-to business advisor for leaders navigating risk, crisis, and strategy; trusted for his clarity, calmness under pressure, and ability to turn volatility into competitive advantage. Dominic equips today's business leaders with the insight and confidence to lead through disruption and deliver sustained strategic advantage.The International Risk Podcast – Reducing risk by increasing knowledge.Follow us on LinkedIn and Subscribe for all our updates!Tell us what you liked!

Robert Bateman is a Senior Partner at Privacy Partnership, which provides consultancy and training on data protection and AI regulation, as well as legal advice via its associated law firm, Privacy Partnership Law. He also hosts The Privacy Partnership Podcast.This is Robert's third appearance on the show. We have covered three hot topics:* How far do we take watermarking of AI-generated content under article 50 of the AI Act?* How do pre-defined legitimate interest scenarios work under the UK Data (Use and Access) Act?* What is the tension between the Online Safety Act and the new data protection framework in the UK?References:SIGN UP NOW for the Masters of Privacy NYC LIVE recording and networking event on Nov 6 (if you happen to be in town)* Robert Bateman on LinkedIn* Robert Bateman on Bluesky* The Privacy Partnership Podcast* AI Act (EU Commission's resources)* Data (Use and Access) Act 2025: data protection and privacy changes* The EU approach to age verification (EU Commission)* EU follows UK with age verification in 2026 (PPC Land)* Wikipedia loses challenge against Online Safety Act verification rules (BBC)* Robert Bateman: the EDPB's Opinion on auditing subprocessors and the future of Meta's unskippable ads (Masters of Privacy, Nov 2024)* Robert Bateman: Consent or Pay (Masters of Privacy, Oct 2023) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Kevin Werbach interviews Dean Ball, Senior Fellow at the Foundation for American Innovation and one of the key shapers of the Trump Administration's approach to AI policy. Ball reflects on his career path from writing and blogging to shaping federal policy, including his role as Senior Policy Advisor for AI and Emerging Technology at the White House Office of Science and Technology Policy, where he was the primary drafter of the Trump Administration's recent AI Action Plan. He explains how he has developed influence through a differentiated viewpoint: rejecting the notion that AI progress will plateau and emphasizing that transformative adoption is what will shape global competition. He critiques both the Biden administration's “AI Bill of Rights” approach, which he views as symbolic and wasteful, and the European Union's AI Act, which he argues imposes impossible compliance burdens on legacy software while failing to anticipate the generative AI revolution. By contrast, he describes the Trump administration's AI Action Plan as focused on pragmatic measures under three pillars: innovation, infrastructure, and international security. Looking forward, he stresses that U.S. competitiveness depends less on being first to frontier models than on enabling widespread deployment of AI across the economy and government. Finally, Ball frames tort liability as an inevitable and underappreciated force in AI governance, one that will challenge companies as AI systems move from providing information to taking actions on users' behalf. Dean Ball is a Senior Fellow at the Foundation for American Innovation, author of Hyperdimensional, and former Senior Policy Advisor at the White House OSTP. He has also held roles at the National Science Foundation, the Mercatus Center, and Fathom. His writing spans artificial intelligence, emerging technologies, bioengineering, infrastructure, public finance, and governance, with publications at institutions including Hoover, Carnegie, FAS, and American Compass. Transcript https://drive.google.com/file/d/1zLLOkndlN2UYuQe-9ZvZNLhiD3e2TPZS/view America's AI Action Plan Dean Ball's Hyperdimensional blog  

Broadcasting from Florence and Los Angeles, I Had One of Those Conversations...You know the kind—where you start discussing one thing and suddenly realize you're mapping the entire landscape of how different societies approach technology. That's exactly what happened when Rob Black and I connected across the Atlantic for the pilot episode of ITSPmagazine Europe: The Transatlantic Broadcast.Rob was calling from what he optimistically described as "sunny" West Sussex (complete with biblical downpours and Four Seasons weather in one afternoon), while I enjoyed actual California sunshine. But this geographic distance perfectly captured what we were launching: a genuine exploration of how European perspectives on cybersecurity, technology, and society differ from—and complement—American approaches.The conversation emerged from something we'd discovered at InfoSecurity Europe earlier this year. After recording several episodes together with Sean Martin, we realized we'd stumbled onto something crucial: most global technology discourse happens through an American lens, even when discussing fundamentally European challenges. Digital sovereignty isn't just a policy buzzword in Brussels—it represents a completely different philosophy about how democratic societies should interact with technology.Rob Black: Bridging Defense Research and Digital RealityRob brings credentials that perfectly embody the European approach to cybersecurity—one that integrates geopolitics, human sciences, and operational reality in ways that purely technical perspectives miss. As UK Cyber Citizen of the Year 2024, he's recognized for contributions that span UK Ministry of Defense research on human elements in cyber operations, international relations theory, and hands-on work with university students developing next-generation cybersecurity leadership skills.But what struck me during our pilot wasn't his impressive background—it was his ability to connect macro-level geopolitical cyber operations with the daily impossible decisions that Chief Information Security Officers across Europe face. These leaders don't see themselves as combatants in a digital war, but they're absolutely operating on front lines where nation-state actors, criminal enterprises, and hybrid threats converge.Rob's international relations expertise adds crucial context that American cybersecurity discourse often overlooks. We're witnessing cyber operations as extensions of statecraft—the ongoing conflict in Ukraine demonstrates how narrative battles and digital infrastructure attacks interweave with kinetic warfare. European nations are developing their own approaches to cyber deterrence, often fundamentally different from American strategies.European Values Embedded in Technology ChoicesWhat emerged from our conversation was something I've observed but rarely heard articulated so clearly: Europe approaches technology governance through distinctly different cultural and philosophical frameworks than America. This isn't just about regulation—though the EU's leadership from GDPR through the AI Act certainly shapes global standards. It's about fundamental values embedded in technological choices.Rob highlighted algorithmic bias as a perfect example. When AI systems are developed primarily in Silicon Valley, they embed specific cultural assumptions and training data that may not reflect European experiences, values, or diverse linguistic traditions. The implications cascade across everything from hiring algorithms to content moderation to criminal justice applications.We discussed how this connects to broader patterns of technological adoption. I'd recently written about how the transistor radio revolution of the 1960s paralleled today's smartphone-driven transformation—both technologies were designed for specific purposes but adopted by users in ways inventors never anticipated. The transistor radio became a tool of cultural rebellion; smartphones became instruments of both connection and surveillance.But here's what's different now: the stakes are global, the pace is accelerated, and the platforms are controlled by a handful of American and Chinese companies. European voices in these conversations aren't just valuable—they're essential for understanding how different democratic societies can maintain their values while embracing technological transformation.The Sociological Dimensions Technology Discourse MissesMy background in political science and sociology of communication keeps pulling me toward questions that pure technologists might skip: How do different European cultures interpret privacy rights differently? Why do Nordic countries approach digital government services so differently than Mediterranean nations? What happens when AI training data reflects primarily Anglo-American cultural assumptions but gets deployed across 27 EU member states with distinct languages and traditions?Rob's perspective adds the geopolitical layer that's often missing from cybersecurity conversations. We're not just discussing technical vulnerabilities—we're examining how different societies organize themselves digitally, how they balance individual privacy against collective security, and how they maintain democratic values while defending against authoritarian digital influence operations.Perhaps most importantly, we're both convinced that the next generation of European cybersecurity leaders needs fundamentally different skills than previous generations. Technical expertise remains crucial, but they also need to communicate complex risks to non-technical decision-makers, operate comfortably with uncertainty rather than seeking perfect solutions, and understand that cybersecurity decisions are ultimately political decisions about what kind of society we want to maintain.Why European Perspectives Matter GloballyEurope represents 27 different nations with distinct histories, languages, and approaches to technology governance, yet they're increasingly coordinating digital policies through EU frameworks. This complexity is fascinating and the implications are global. When Europe implements new AI regulations or data protection standards, Silicon Valley adjusts its practices worldwide.But European perspectives are too often filtered through American media or reduced to regulatory footnotes in technology publications. We wanted to create space for European voices to explain their approaches in their own terms—not as responses to American innovation, but as distinct philosophical and practical approaches to technology's role in democratic society.Rob pointed out something crucial during our conversation: we're living through a moment where "every concept that we've thought about in terms of how humans react to each other and how they react to the world around them now needs to be reconsidered in light of how humans react through a computer mediated existence." This isn't abstract philosophizing—it's the practical challenge facing policymakers, educators, and security professionals across Europe.Building Transatlantic Understanding, Not DivisionThe "Transatlantic Broadcast" name reflects our core mission: connecting perspectives across borders rather than reinforcing them. Technology challenges—from cybersecurity threats to AI governance to digital rights—don't respect national boundaries. Solutions require understanding how different democratic societies approach these challenges while maintaining their distinct values and traditions.Rob and I come from different backgrounds—his focused on defense research and international relations, mine on communication theory and sociological analysis—but we share curiosity about how technology shapes society and how society shapes technology in return. Sean Martin brings the American cybersecurity industry perspective that completes our analytical triangle.Cross-Border Collaboration for European Digital FutureThis pilot episode represents just the beginning of what we hope becomes a sustained conversation. We're planning discussions with European academics developing new frameworks for digital rights, policymakers implementing AI governance across member states, industry leaders building privacy-first alternatives to Silicon Valley platforms, and civil society advocates working to ensure technology serves democratic values.We want to understand how digital transformation looks different across European cultures, how regulatory approaches evolve through multi-stakeholder processes, and how European innovation develops characteristics that reflect distinctly European values and approaches to technological development.The Invitation to Continue This ConversationBroadcasting from our respective sides of the Atlantic, we're extending an invitation to join this ongoing dialogue. Whether you're developing cybersecurity policy in Brussels, building startups in Berlin, teaching digital literacy in Barcelona, or researching AI ethics in Amsterdam, your perspective contributes to understanding how democratic societies can thrive in an increasingly digital world.European voices aren't afterthoughts in global technology discourse—they're fundamental contributors to understanding how diverse democratic societies can maintain their values while embracing technological change. This conversation needs academic researchers, policy practitioners, industry innovators, and engaged citizens from across Europe and beyond.If this resonates with your own observations about technology's role in society, subscribe to follow our journey as we explore these themes with guests from across Europe and the transatlantic technology community.And if you want to dig deeper into these questions or share your own perspective on European approaches to cybersecurity and technology governance, I'd love to continue the conversation directly. Get in touch with us on Linkedin! Marco CiappelliBroadcasting from Los Angeles (USA) & Florence (IT)On Linkedin: https://www.linkedin.com/in/marco-ciappelliRob BlackBroadcasting from London (UK)On Linkedin https://www.linkedin.com/in/rob-black-30440819Sean MartinBroadcasting from New York City (USA)On Linkedin: https://www.linkedin.com/in/imsmartinThe transatlantic conversation about technology, society, and democratic values starts now.

AI is rapidly becoming part of the healthcare system, powering everything from diagnostic tools and medical devices to patient monitoring and hospital operations. But while the potential is extraordinary, the risks are equally stark. Many hospitals are adopting AI without the safeguards needed to protect patient safety, leaving critical systems exposed to threats that most in the sector have never faced before. In this episode of Tech Talks Daily, I speak with Ty Greenhalgh, Healthcare Industry Principal at Claroty, about why healthcare's AI rush could come at a dangerous cost if security does not keep pace. Ty explains how novel threats like adversarial prompts, model poisoning, and decision manipulation could compromise clinical systems in ways that are very different from traditional cyberattacks. These are not just theoretical scenarios. AI-driven misinformation or manipulated diagnostics could directly impact patient care. We explore why the first step for hospitals is building a clear AI asset inventory. Too many organizations are rolling out AI models without knowing where they are deployed, how they interact with other systems, or what risks they introduce. Ty draws parallels with the hasty adoption of electronic health records, which created unforeseen security gaps that still haunt the industry today. With regulatory frameworks like the UK's AI Act and the EU's AI regulation approaching, Ty stresses that hospitals cannot afford to wait for legislation. Immediate action is needed to implement risk frameworks, strengthen vendor accountability, and integrate real-time monitoring of AI alongside legacy devices. Only then can healthcare organizations gain the trust and resilience needed to safely embrace the benefits of AI. This is a timely conversation for leaders across healthcare and cybersecurity. The sector is on the edge of an AI revolution, but the choices made now will determine whether that revolution strengthens patient care or undermines it. You can learn more about Claroty's approach to securing healthcare technology at claroty.com.

From February 16, 2024: The EU has finally agreed to its AI Act. Despite the political agreement reached in December 2023, some nations maintained some reservations about the text, making it uncertain whether there was a final agreement or not. They recently reached an agreement on the technical text, moving the process closer to a successful conclusion. The challenge now will be effective implementation.To discuss the act and its implications, Lawfare Fellow in Technology Policy and Law Eugenia Lostri sat down with Itsiq Benizri, counsel at the law firm WilmerHale Brussels. They discussed how domestic politics shaped the final text, how governments and businesses can best prepare for new requirements, and whether the European act will set the international roadmap for AI regulation.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.