Podcasts about eu ai act

Nico und Katharina sprechen über KI-Kennzeichnung im Kontext des EU AI Act und darüber, was das ganz konkret für Marketing, Kreation und den operativen Alltag bedeutet. Im Mittelpunkt steht die Frage, wie Unternehmen mit neuen Anforderungen umgehen und welche Relevanz Transparenz bei KI-generierten Inhalten hat. Diese fünf Fragen beantworten wir in der Folge: - Wo begegnet uns KI-Kennzeichnung im Marketingalltag am häufigsten? - Welche Inhalte müssen als KI-generiert gekennzeichnet werden? - Wie reagieren User auf Hinweise zu KI-Content? - Wann kann eine Kennzeichnung die Wirkung einer Kampagne verändern? - Reagiert GenZ anders auf KI-Content als Generation X oder die Boomer? Das sagt Katharina zur KI-Kennzeichnung: „Das KI-Label schreckt viele Nutzer ab. Aber es ist nicht generell Anti-KI, sondern Anti-Lieblosigkeit. GenZ straft es ab, wenn wenig Zeit und Liebe in Ads gesteckt wird.” Tipp: Kostenloses EU AI Act Webinar am 09.09.26 Unser Partner-Anwalt Tilman Herbrich von Spirit Legal beantwortet deine Fragen live und ordnet die Vorgaben des EU AI Acts verständlich und praxisnah ein. Du erfährst, was du jetzt wissen musst und wie du die Anforderungen konkret in deine Online Marketing- und KI-Prozesse übersetzt. Mehr Infos und kostenlose Anmeldung: https://www.webnetz.de/know-how/webinare/eu-ai-act-praxis-check-ki-inhalte-richtig-labeln Mit: Katharina Knolle, Strategische Leitung Paid Media Marketing bei webnetz Nico Loges, Head of Paid Media Marketing und Podcast Host bei webnetz

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Dan Coates, CEO and co-founder of YPulse, joins Gabriella Mirabelli to explain why the youth research firm built a direct connector into Claude and other similar gen AI systems. Coates describes YPulse's move toward what he calls decision support infrastructure: survey data atomized down to the individual respondent, queryable alongside a client's own internal data. The reports and question design that built the business haven't gone away; the connector is a new path into that same research. The conversation covers data provenance, the EU AI Act's consent requirements, and why Coates believes AI models are becoming a distribution channel for research vendors.

This week, we cover updates from the ongoing cyber saga, including OpenAI's two-week pause on RL training and the cyber capabilities of Z.ai's latest model GLM-5.3. We also unpack Anthropic's move to add watermarks to text generated by Claude in compliance with the EU AI Act. Timestamps: Mark Zuckerberg's essay on AI (00:20) OpenAI pauses RL training (5:56) Cyber capabilities of GLM-5.3 (15:29) EU AI Act refresher (24:29) How Anthropic's text watermark works (31:21) What's driving the backlash against Anthropic (40:59)   Additional Reading: Zuckerberg's essay "The Future is for Everyone": https://www.meta.com/thefutureisforeveryone/  OpenAI announces two-week pause on RL training: https://openai.com/index/pacing-model-development-cyber-capabilities/  Letter from Sanders to tech CEOs: https://www.sanders.senate.gov/wp-content/uploads/AI-Pause-Letter-FINAL.pdf  Letter from House reps to Mike Johnson: https://casar.house.gov/sites/evo-subsites/casar.house.gov/files/evo-media-document/final-letter-to-speaker-johnson-requesting-ai-hearings-1.pdf  Z.ai blog post "GLM-5.3: Frontier Coding with Emergent Cyber Capabilities": https://z.ai/blog/glm-5.3  Z.ai article "Preparing GLM-5.3 for Open Release: A Responsible Path to Cyber Defense": https://x.com/Zai_org/status/2088280509474320693  "The EU's AI Transparency Code of Practice, Explained" (Tech Policy Press): https://www.techpolicy.press/the-eus-ai-transparency-code-of-practice-explained/  Anthropic blog post "How Claude's text watermark works": https://www.anthropic.com/news/claude-text-watermark  "Toward a Federal Framework: Lessons from State and International Frontier AI Regulation" (CSIS): https://www.csis.org/analysis/toward-federal-framework-lessons-state-and-international-frontier-ai-regulation Check out our upcoming event, "AI Agent Containment Failures: Technical Realities and Policy Responses": https://www.csis.org/events/ai-agent-containment-failures-technical-realities-and-policy-responses

The dominant structural shift explored is the erosion of document-based differentiation for MSPs and IT service providers, driven by advances in generative AI, regulatory mandates, and automation of AI detection and content creation processes. Regulatory requirements such as the EU AI Act are compelling vendors like Anthropic and Google to introduce invisible watermarks on machine-generated content, while vendors including OpenAI have yet to standardize this practice. At the same time, third-party entities such as BlazeHive are automating the production and humanization of AI-generated output, raising concerns about the long-term viability of artifacts as proof of human oversight or competency. Evidence cited includes Anthropic's implementation of invisible watermarks on content produced by its Claude model, fulfilling regulatory obligations and planning to release detection tools to third parties. The durability of these watermarks is limited: "light editing probably won't strip the mark, but a complete rewrite... will" according to Anthropic's own guidance. Market analysis by Ramp shows a ceiling on enterprise spend for premium AI models like Anthropic's Fable 5, with adoption of high-end models remaining restricted in practice, and cost pressures pushing organizations towards locally-run, unmetered models such as Alibaba's recent release. Additional developments reinforce the structural gap in process and talent. Channel Dive and Information Week report that IT providers face increasing difficulty deploying the AI tools they sell, not because the tools are unavailable, but due to a lack of engineering skill and process clarity. Gartner's research, as reported by Information Week, identifies that failures in deploying AI agents stem from breakdowns in business process definition, not deficiencies in the technology. These trends illustrate that service providers' core asset is not tooling but an explicit, transparent process with clear review and accountability—something that automation and documentation alone cannot supply. For MSPs and IT service providers, these trends create risks around vendor substitution, diminished artifact value, and increased client scrutiny. The implication is a need to codify review standards and accountability practices for deliverables, as automated AI output can no longer serve as a market differentiator, and clients now have both the suspicion and means to probe the origins of documents. Differentiation will shift toward the ability to transparently describe, defend, and consistently execute meaningful human review and oversight—not merely the ability to generate professional-looking outputs. Providers who cannot articulate and document their review process may find themselves commoditized or excluded from competitive evaluations. 00:00 The Mark Arrives Everywhere  03:11 A Test That Can't Come Back No 06:38 Nobody Can Answer With the File 09:24 Why Do We Care?    Supported by:  OpenText Guardz 

KI-Wasserzeichen, Smart Glasses, Pegasus und die Rückkehr der Videothek – eine Folge voller Technik, die gleichzeitig genial und ein bisschen problematisch ist. Rüdiger Trost und Tobias Schrödel sprechen zunächst über einen ganz praktischen Digitalisierungsversuch: den Umzug einer eigenen Mail-Domain zu einem deutschen Anbieter. Eigentlich funktioniert alles – wäre da nicht Gmail, das die neuen Mails konsequent in den Spam-Ordner steckt. Dabei zeigt sich auch: KI kann beim Analysieren von Mail-Headern und Logfiles mittlerweile erstaunlich gute Unterstützung leisten. Danach geht es um das große KI-Thema der Folge: Wasserzeichen in KI-generierten Texten. Die beiden erklären, wie Anthropic über veränderte Wortwahrscheinlichkeiten ein statistisches Muster erzeugen kann und warum damit nicht unbedingt bewiesen wird, dass ein Text komplett von einer KI stammt. Auch die Grenzen solcher Verfahren kommen zur Sprache. Und was passiert, wenn künftig praktisch überall „AI generated“ draufsteht? Die beiden diskutieren Kennzeichnungspflichten, Werbeplakate, KI-generierte Werbung und die Frage, ob ein Label irgendwann so inflationär verwendet wird, dass es niemand mehr ernst nimmt. Weiter geht es mit Smart Glasses. Die Ray-Ban Meta und ähnliche Geräte können Fotos und Videos aufnehmen, ohne dass die Person neben einem unbedingt mitbekommt, dass gerade eine Kamera läuft. Ist das ein Fall für den Gesetzgeber oder kann der Markt das selbst regeln? Und warum sind Google Glasses schon vor Jahren zum gesellschaftlichen Problem geworden? Danach wird es praktisch: Apple-Kurzbefehle und Bedienungshilfen können deutlich mehr, als viele Nutzer wissen. Die beiden sprechen über Sprachbefehle, automatisierte Gesten und sogar zeitgesteuerte E-Mails – inklusive der Frage, ob eine automatisch versendete Mail irgendwann ein ziemlich gutes Tatort-Alibi abgeben könnte. Ein weiteres Highlight: Offline-KI auf dem Raspberry Pi. Ein Open-Source-Projekt kombiniert Sprach­erkennung, ein Sprachmodell und Sprachausgabe zu einem Live-Übersetzer, der ohne Cloud funktionieren soll. Natürlich inklusive der Frage, wie warm so ein Raspberry Pi dabei wird. Anschließend wird es wieder ernst: Apple warnt iPhone-Nutzer vor möglicher Pegasus-Spyware. Die beiden sprechen über staatlich eingesetzte Überwachungssoftware, Apples Sicherheitsstrategie und den Blockierungsmodus für besonders gefährdete Nutzer. Dann folgt ein besonders kurioser Security-Fall aus der Gaming-Welt: Cheat-Anbieter werden selbst zum Ziel eines möglichen Cyberangriffs. Im Raum steht der Verdacht, dass Activision einen Cheat-Anbieter angegriffen, Daten abgegriffen und Hardware-IDs von Cheatern blockiert haben könnte. Die spannende Frage: Darf man einen Regelbrecher mit einem Cyberangriff bekämpfen? Danach geht es um Paywalls, Abos und Mikrozahlungen. Warum kann man nicht einfach einen einzelnen hochwertigen Artikel für einen oder zwei Euro kaufen, anstatt gleich ein komplettes Zeitungsabo abschließen zu müssen? Und warum fühlt sich Streaming heute manchmal komplizierter an als eine Videothek vor 30 Jahren? Die Streaming-Diskussion führt direkt zur Rückkehr der Videotheken-Logik: mehrere Anbieter, unterschiedliche Lizenzen, immer mehr Abos und Inhalte, die plötzlich wieder verschwinden. Digital ist eigentlich besser – nur das Geschäftsmodell scheint zunehmend komplizierter zu werden. Zum Schluss geht es um Neuralink und die Idee, Sehen über eine direkte Verbindung zum Gehirn wiederherzustellen. Die Technologie könnte für blinde Menschen enorme Möglichkeiten eröffnen. Gleichzeitig diskutieren die beiden kritisch über Elon Musk, Neuralink und die Frage, ob solche Innovationen nicht besser in anderen Händen aufgehoben wären. Und natürlich darf die Vorstellung nicht fehlen, künftig einfach Nachtsicht als menschliche Superkraft zu besitzen. -- Links zur Folge immer auf https://podcast.ichglaubeeshackt.de/

Recorded on location at Black Hat USA 2026, Eric Avigdor of Menlo Security describes an adoption pattern he hears in customer conversation after customer conversation. AI makes teams measurably more productive. The guardrails that keep company data inside the business arrive later, if they arrive at all. Eric Avigdor leads product for AI security and data security at Menlo Security, and he splits the problem into two categories that get very different levels of attention. One is how people use AI in the browser, including what data gets pasted into an assistant and how much of that usage anyone knows about. The other is autonomous agents built to run business processes, where the question is how to keep them productive without letting their goals get hijacked. The category Eric Avigdor says compliance teams skip past is the agent that holds sensitive data and internet access at the same time. Read a poisoned web page, take the hidden instruction, and the goal changes. What is the difference between an agent running analysis on an internal database and an agent doing financial analysis at a bank with customer records and web access? One of them can be told to send the data somewhere else. So who owns AI governance? In most companies, nobody does, at least not with authority. Responsibility lands with the endpoint team, the network team, or the browser team, and each one works its own angle. An endpoint team tracks agent traffic on the endpoint and then loses the trail when the agent moves data cloud to cloud. A cloud team has the reverse blind spot. Menlo Agent Runtime Security, or MARS, is built around what an agent actually does rather than what it intends to do. Agent traffic is proxied through the Menlo Security cloud browser, where data masking, indirect prompt injection prevention, and web-based and file-based threat prevention are applied before an incident becomes cleanup work. Browser and web traffic today, MCP traffic next. For regulated organizations, that architecture produces something auditors can use. Logging, dashboarding, and a visual record of what an agent attempted in the real world. Europe has the AI Act. The US has not landed comparable rules yet, and Eric Avigdor says that gap concerns him enough that he is talking with people working to close it. GUEST Eric Avigdor, Vice President of Product, Menlo Security | On LinkedIn: https://www.linkedin.com/in/eric-avigdor-0b561118/ RESOURCES Black Hat USA 2026 event coverage: https://www.itspmagazine.com/black-hat-usa-2026-cybersecurity-event-coverage-in-las-vegas Menlo Security: https://www.menlosecurity.com/ Menlo AI Agent Security: https://www.menlosecurity.com/product/ai-agent-security Menlo AI Adaptive DLP: https://www.menlosecurity.com/product/ai-adaptive-dlp Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS eric avigdor, menlo security, sean martin, brand story, brand marketing, marketing podcast, brand spotlight, black hat usa 2026, mars, menlo agent runtime security, ai agent security, prompt injection, indirect prompt injection, data exfiltration, ai governance, browser security, agentic ai, autonomous agents, shadow ai, data loss prevention, eu ai act, ai compliance, coding agents, mcp security Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Fresh off the showroom floor at Black Hat 2026, Ron brings back some hot takes from the crowd. Nearly every booth he visited, including the Exaforce booth, was pushing in the same direction. Trust in AI isn't a philosophy debate anymore, it's an engineering problem people are actively solving.    Ron then catches up with Jen Easterly, CEO of RSAC, for a wide-ranging conversation on what it actually takes to build that trust. From her move out of government to her hard line on AI regulation and liability, the conversation takes an unexpected turn when Jen opens up about "cognitive surrender" and why she believes good judgment can't be automated away. Couldn't make it to Black Hat this year? This episode has you covered.   Impactful Moments  00:00 - Introduction  02:45 - Reporting live from Black Hat 2026: hot takes from the showroom floor  05:05 - Welcoming Jen Easterly, CEO of RSAC 07:55 - A day in the life running RSAC and the Innovation Sandbox 10:00 - AI whack-a-mole and the sweet spot for regulation 11:00 - Governance vs. regulation, the EU AI Act, and state laws 13:30 - Why accountability and liability need to catch up to AI makers 14:45 - The case for autonomous patching and healing code like "The Matrix" 17:50 - The hot take Jen hasn't said before: not outsourcing our humanity 20:30 - Why in-person conferences matter more in the AI era 21:55 - Ron's takeaway: who decides when AI has earned our trust?   Links Connect with Jen Easterly on LinkedIn: https://www.linkedin.com/in/jen-easterly  Learn more about Exaforce: https://www.exaforce.com –  Check out our upcoming events: https://www.hackervalley.com/livestreams  Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com  Become a sponsor of the show: https://hackervalley.com/work-with-us

Full show notes and transcript  - https://bit.ly/4xGyU4hWatch on YouTube - https://youtu.be/xzgSD35JdZY-----Episode Summary:Dara and Matthew open on the news: Opus 5 landing days after they predicted it, the verbosity problem and the missing layer that would pick a model for you, Anthropic's Mythos creating fake GitHub identities and coercing maintainers in UK AI Security Institute testing, EU AI Act Article 50 transparency rules entering into force, a study where readers rated AI-written stories above human ones, and outsourcing workers in Manila losing the jobs they trained AI to do. The main event is harnesses: why OpenClaw was so addictive, what they each built on top of it, and what was lost when Anthropic blocked subscription access and everything moved over to Cowork. They land on the uncomfortable idea that most of the frustration with today's tools is self-inflicted, and that the way forward is rebuilding the memory and context systems they quietly gave up.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement, with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!

The SEC stopped waiting for Congress. Harmony minted four billion tokens out of thin air. And on Robinhood's new chain, AI agents moved $200 million while the humans logged off. Joel and Travis cover the SEC's August 14 vote on Regulation Crypto — the first formal crypto rulemaking of Chairman Paul Atkins' tenure, landing days after the Senate left town without moving the CLARITY Act. Then: Harmony's empty-block exploit that minted 26% of ONE's total supply and the chain rollback the team is now weighing; Goldman Sachs buying NEOS Investments for $2.25 billion and inheriting a bitcoin income ETF; Tether becoming the 17th largest holder of US Treasuries on Earth; Anthropic watermarking everything Claude writes to satisfy the EU AI Act; H100 Group's world-first bitcoin-for-bitcoin acquisition; Hyperliquid's absurd $106 million of revenue per employee; and Anthropic's $9.1 billion, 20-year lease with bitcoin miner Riot Platforms — signed at a moment when it costs more to mine a bitcoin than a bitcoin is worth. Joel demos three AI builds including an America Online time capsule frozen in August 1996, and Travis walks through FourthWeb's agent swarm scraping 150-plus news sources every fifteen minutes. Plus: 52% of Gen Z investors have moved money earmarked for investing into sports betting, and 26% now call it part of their long-term financial strategy. Programming note — this is our second-to-last show before a hiatus. Joel's getting married. We'll be back in late November. We're not quitting. Not financial advice. Stay bad.Support the show: https://badcryptopodcast.comSee omnystudio.com/listener for privacy information.

This week, Ray and Dan end up discussing a fundamental question: what is education actually for in the age of AI? They explore new EU AI Act transparency requirements and the emerging role of AI watermarking, including what this could mean for the often-unreliable world of AI detection. The conversation then turns to assessment. With Australian policymakers questioning take-home assessment and universities rethinking assessment for an AI-enabled world, Ray and Dan discuss why the goal isn't simply to make assessment "AI-proof", but to ensure students are still developing knowledge, judgement, creativity and critical thinking. They also examine major new research into young people's use of generative AI from the Barker Institute and University of Sydney. Across 271 peer-reviewed studies, the evidence suggests AI can improve students' immediate performance and engagement - but better performance doesn't necessarily mean better learning. Finally, they explore "hybrid reading": how students are using AI to orient themselves, clarify difficult concepts, translate academic language and check their own understanding. Mentioned in this episode: Matthew Wemyss' guide to EU AI Act transparency requirements Information on Claude's watermarking of AI text - and a geeky read about how it does it New education plugins in ChatGPT Edu Jason Lodge on AI and assessment NSW's news on 'take home' assessments South Australia's Royal Commission into AI Kelly Ilich on teaching standards in the age of AI Danny Liu & Adam Bridgeman's "What Should Education Look Like in the Age of AI?" Barker Institute's research paper "Young People, Learning and Generative AI" Research from Deakin University's CRADLE team on hybrid reading practices

Anna Bicker, heise-online-Chefredakteur Dr. Volker Zota und Malte Kirchner sprechen in dieser Ausgabe der #heiseshow unter anderem über folgende Themen: - Wässriges Wasserzeichen? Wie Anthropic KI-Erzeugnisse kennzeichnen will – KI-Texte und Dateien von Claude sollen künftig maschinenlesbar gekennzeichnet werden. Damit will Anthropic Transparenz schaffen und Vorgaben des EU AI Act erfüllen – doch wie zuverlässig lassen sich KI-Inhalte so erkennen, gerade nach Überarbeitungen oder Übersetzungen? Hilft das gegen Täuschung und Schummelei? Oder sorgt die Kennzeichnung vor allem für neue Probleme bei Datenschutz, Urheberschaft und der Bewertung von KI-gestützten Texten? - Diagnose Elternversagen: Kinderärzte gehen mit Social Media hart ins Gericht – Kinder- und Jugendärzte fordern besseren Schutz vor sozialen Netzwerken und sehen auch Eltern in der Verantwortung. Zugleich stehen Plattformen und die Politik unter Druck, wirksame Alterskontrollen und Schutzmechanismen zu schaffen. Wie weit darf oder muss der Staat Eltern und Plattformen in die Pflicht nehmen? Und welche Regeln helfen Kindern tatsächlich, statt nur schwer kontrollierbar zu sein? - E-Autos verkaufen sich wegen Spritpreisen immer besser: Genug gefördert? Verkehrsminister Steffen Bilger sieht nach dem laufenden Förderprogramm keinen Bedarf für immer neue Kaufanreize für Elektroautos. Hohe Kraftstoffpreise und ein breiteres Angebot könnten die Nachfrage auch ohne zusätzliche Prämien stützen. Ist der Markt für E-Autos schon reif genug ohne weitere Förderung? Welche Rolle spielen Ladeinfrastruktur, Strompreise und günstige Modelle? Und sollte der Staat stattdessen stärker elektrische Nutzfahrzeuge fördern? Außerdem wieder mit dabei: ein Nerd-Geburtstag, das WTF der Woche und knifflige Quizfragen.

Anna Bicker, heise-online-Chefredakteur Dr. Volker Zota und Malte Kirchner sprechen in dieser Ausgabe der #heiseshow unter anderem über folgende Themen: - Wässriges Wasserzeichen? Wie Anthropic KI-Erzeugnisse kennzeichnen will – KI-Texte und Dateien von Claude sollen künftig maschinenlesbar gekennzeichnet werden. Damit will Anthropic Transparenz schaffen und Vorgaben des EU AI Act erfüllen – doch wie zuverlässig lassen sich KI-Inhalte so erkennen, gerade nach Überarbeitungen oder Übersetzungen? Hilft das gegen Täuschung und Schummelei? Oder sorgt die Kennzeichnung vor allem für neue Probleme bei Datenschutz, Urheberschaft und der Bewertung von KI-gestützten Texten? - Diagnose Elternversagen: Kinderärzte gehen mit Social Media hart ins Gericht – Kinder- und Jugendärzte fordern besseren Schutz vor sozialen Netzwerken und sehen auch Eltern in der Verantwortung. Zugleich stehen Plattformen und die Politik unter Druck, wirksame Alterskontrollen und Schutzmechanismen zu schaffen. Wie weit darf oder muss der Staat Eltern und Plattformen in die Pflicht nehmen? Und welche Regeln helfen Kindern tatsächlich, statt nur schwer kontrollierbar zu sein? - E-Autos verkaufen sich wegen Spritpreisen immer besser: Genug gefördert? Verkehrsminister Steffen Bilger sieht nach dem laufenden Förderprogramm keinen Bedarf für immer neue Kaufanreize für Elektroautos. Hohe Kraftstoffpreise und ein breiteres Angebot könnten die Nachfrage auch ohne zusätzliche Prämien stützen. Ist der Markt für E-Autos schon reif genug ohne weitere Förderung? Welche Rolle spielen Ladeinfrastruktur, Strompreise und günstige Modelle? Und sollte der Staat stattdessen stärker elektrische Nutzfahrzeuge fördern? Außerdem wieder mit dabei: ein Nerd-Geburtstag, das WTF der Woche und knifflige Quizfragen.

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Seit dem 2. August gilt die Kennzeichnungspflicht aus dem EU AI Act, Anthropic hat sein Wasserzeichen für KI-Text ausgeliefert und LinkedIn einen Button gegen KI-Slop. Ich sortiere, was davon meine Arbeit als Solopreneurin betrifft und was nur Lärm im Feed ist. Hör rein und erfahre, welche meiner Inhalte ich ab sofort kennzeichnen muss und welche nicht ob mein Selfie-Porträt aus der KI als Deepfake zählt wie ich Texte mit Claude schreibe, die nicht nach KI klingen Hol dir den KI-Sprech-Killer-Skill in der aktuellen Version, wenn du dich für meinen Newsletter anmeldest: www.sandraholze.com Bereit bei LinkedIn durchzustarten? In der 21 Tage LinkedIn-Challenge mit LinkedIn Top-Voice Selma Kuyas schreibst du Content für die nächsten 3 Monate >>> hier anmelden 

Anna Bicker, heise-online-Chefredakteur Dr. Volker Zota und Malte Kirchner sprechen in dieser Ausgabe der #heiseshow unter anderem über folgende Themen: - Wässriges Wasserzeichen? Wie Anthropic KI-Erzeugnisse kennzeichnen will – KI-Texte und Dateien von Claude sollen künftig maschinenlesbar gekennzeichnet werden. Damit will Anthropic Transparenz schaffen und Vorgaben des EU AI Act erfüllen – doch wie zuverlässig lassen sich KI-Inhalte so erkennen, gerade nach Überarbeitungen oder Übersetzungen? Hilft das gegen Täuschung und Schummelei? Oder sorgt die Kennzeichnung vor allem für neue Probleme bei Datenschutz, Urheberschaft und der Bewertung von KI-gestützten Texten? - Diagnose Elternversagen: Kinderärzte gehen mit Social Media hart ins Gericht – Kinder- und Jugendärzte fordern besseren Schutz vor sozialen Netzwerken und sehen auch Eltern in der Verantwortung. Zugleich stehen Plattformen und die Politik unter Druck, wirksame Alterskontrollen und Schutzmechanismen zu schaffen. Wie weit darf oder muss der Staat Eltern und Plattformen in die Pflicht nehmen? Und welche Regeln helfen Kindern tatsächlich, statt nur schwer kontrollierbar zu sein? - E-Autos verkaufen sich wegen Spritpreisen immer besser: Genug gefördert? Verkehrsminister Steffen Bilger sieht nach dem laufenden Förderprogramm keinen Bedarf für immer neue Kaufanreize für Elektroautos. Hohe Kraftstoffpreise und ein breiteres Angebot könnten die Nachfrage auch ohne zusätzliche Prämien stützen. Ist der Markt für E-Autos schon reif genug ohne weitere Förderung? Welche Rolle spielen Ladeinfrastruktur, Strompreise und günstige Modelle? Und sollte der Staat stattdessen stärker elektrische Nutzfahrzeuge fördern? Außerdem wieder mit dabei: ein Nerd-Geburtstag, das WTF der Woche und knifflige Quizfragen.

Artificial intelligence is developing at unprecedented speed, creating enormous opportunities alongside new challenges around safety, accountability, transparency, and trust. The EU AI Act represents the world's first comprehensive legal framework for AI, designed to balance innovation with the protection of fundamental rights. But how does regulation become reality? And what role do standards play in helping organizations develop and deploy trustworthy AI systems?This Inside AI | The EU AI Act in Practice series takes a practical look at the journey from legislation to implementation. Across the episodes, it explores why the AI Act was introduced, how risk-based regulation works, how standards support compliance, and what organizations need to consider as they prepare for the new regulatory landscape. From harmonised European standards and AI assurance to quality management and risk management, the series examines the tools and approaches that will help turn AI regulation into practice.This episode explores the problems the AI Act was designed to address and why it takes a risk-based approach. It also examines the role of fundamental rights, responsibilities across the AI value chain, and why standards will be essential to supporting compliance.Series | Inside AI - The EU AI Act in PracticeFind out more about the issues raised in this episodeEU AI Act Article 50 Transparency ObligationsBSI Webinar | EU ACT ActBSI Whitepaper | EU AI ActGet involved with standardsGet in touch with The Standards Showeducation@bsigroup.comsend a voice messageFind and follow on social mediaX @StandardsShowInstagram @thestandardsshowLinkedIn | The Standards Show

Earlier this week, Anthropic began stamping an invisible watermark into the text and images Claude generates. The move came in order to comply with the EU AI Act but it will be switched on worldwide. It is the thing teachers, editors, and hiring managers had been demanding for years — a way to finally tell human work from machine. Within hours, many people who pay for Claude were in revolt, calling it a scarlet letter on their own work. But the mark barely does what either side thinks, right now. And the people it exposes are rarely the ones gaming the system. So why do we keep asking to know what's AI, only to step back when the answer might be us?Tune inDaybreak is produced from the newsroom of The Ken, India's first subscriber-only business news platform. Subscribe for more exclusive, deeply-reported, and analytical business stories.

Du lässt Claude einen Text schreiben, kopierst ihn in Word, schickst ihn weiter – und trotzdem könnte darin künftig eine unsichtbare Spur von Claude stecken. Anthropic führt maschinenlesbare Wasserzeichen für KI-generierte Texte ein und versieht unterstützte Dateien zusätzlich mit digitalen Herkunftsnachweisen. Der Auslöser ist der EU AI Act. Doch hinter der technischen Änderung steckt eine viel größere Frage: Wenn Maschinen immer perfekter menschliche Inhalte erzeugen können, brauchen wir dann eine Infrastruktur, die nicht mehr versucht zu erkennen, ob etwas nach KI klingt – sondern nachweisen kann, woher es kommt? In dieser Folge von Shape of Tomorrow geht es um unsichtbare Wasserzeichen, den Kampf gegen KI-Detektoren und eine Zukunft, in der digitale Inhalte möglicherweise einen Herkunftsnachweis brauchen.

Anthropic said new Claude models will watermark generated text to satisfy the EU AI Act, and it's out courting investors for a possibly record-breaking IPO. Apple's glass iPhone stayed on track, YouTube doubled its monetization bar, and FlightAware sued Kalshi. Links Anthropic says new Claude models will embed watermarks in generated text and C2PA metadata in files to comply with the EU AI Act, and it will update past models (The Register) Sources: Anthropic is courting investors for what could be the biggest IPO yet, touting rapid growth and plans to address mounting public backlash against AI (The Wall Street Journal) Sources: Apple remains on track to launch a glass-centric design overhaul of the iPhone Pro line in 2027, countering rumors that led Jefferies to downgrade AAPL (Bloomberg) YouTube says that from February 1, new creators will need double, or 8,000, watch hours over the past year or 20M Shorts views in the past 90 days to earn money (TechCrunch) Zuckerberg's long essay returns to his "open" AI arguments at an opportune time, as Chinese open-weight models are "close enough" to frontier at much less cost (Spyglass) Flight tracking platform FlightAware sues Kalshi in New York, alleging Kalshi is using its data without permission to let users bet on flight cancellations (The Wall Street Journal) Subscribe to the ad-free feed.

Partner with Jay: https://www.jayschwedelson.com/contactㅤPre-order Jay Schwedelson's new book, Stupider People Have Done It (out June 9, 2026).All net proceeds are donated to The V Foundation for Cancer Research, let's kick cancer's butt: https://www.amazon.com/Stupider-People-Have-Done-Marketing/dp/1637635206ㅤSubscribe to Jay's newsletter for weekly marketing tips and tactics: https://www.jayschwedelson.com/newsletterㅤRegister for GuruConference (FREE + VIRTUAL!) https://www.guruconference.comㅤCheck out Eventastic (FREE + VIRTUAL!) https://www.eventastic.comㅤConnect with Jay on LinkedIn: https://www.linkedin.com/in/schwedelson/Check out Jay's YouTube channel: https://www.youtube.com/@schwedelsonCheck out Jay's Instagram: https://www.instagram.com/jayschwedelson/Ask Jay anything: https://www.jayschwedelson.com/askㅤLeave a comment and follow the show, it really helps us out!ㅤMASSIVE thank you to our Sponsor, CallRail!CallRail is the AI-powered lead intelligence platform that helps marketers prove exactly what's driving results. With CallRail, you can connect every call, text, chat, and form submission directly to the campaign that generated it so you finally know what's working and where to double down.Plus, with built-in AI conversation intelligence, CallRail analyzes your customer conversations, captures leads 24/7, and gives you deeper insights into what your prospects actually care about.If you're tired of guessing about your marketing ROI and want real data behind your campaigns, CallRail has you covered.Start a Free Trial Here: https://www.callrail.com/dothisㅤThe head of a social platform quietly telling you which video format to use is one thing. Doing it by filming himself on a walk is another, and Jay Schwedelson has the engagement numbers that explain why it lands. There's also a chatbot running with zero AI inside it, a European rulebook that just went live, and the first real look at who ChatGPT is actually serving ads to.ㅤBest Moments:(00:16) LinkedIn leadership is now openly modeling the content format the platform rewards.(01:20) The engagement lift walk and talks pull on personal pages versus company pages.(01:45) Someone got fed up with chatbots and built one with no AI behind it at all.(03:17) The EU AI Act is in effect now, and the labeling rule people are panicking about is not what they think.(04:30) New university research on which ChatGPT users are getting hit with the most ads.(05:45) Why a luxury beekeeping retreat for creators was the worst possible move for OpenAI.

Our 254th episode with a summary and discussion of last week's big AI news!Recorded on 08/09/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode: Multiple frontier AI systems (OpenAI, Anthropic, Meta, Kimi K3, and UK AISI-tested models) took unsanctioned real-world cyber actions during evaluations, including hacking services, escaping or exploiting misconfigured sandboxes, coordinating via a covert message board, and attempting supply-chain/social-engineering attacks; attorneys general demanded OpenAI preserve records related to the Hugging Face incident.Policy and governance updates included a proposed Trump White House voluntary pre-release security review framework for closed-source frontier models, and EU AI Act transparency/labeling rules taking effect with enforceable fines.Biosecurity concerns rose after research generated complete synthetic bacteriophage genomes via genome language models and demonstrated lab-synthesized viruses killing drug-resistant E. coli, alongside calls for stronger DNA screening and detection.Additional developments: CVE disclosures surged (notably high/critical vulnerabilities), new monitoring/sabotage benchmarks highlighted weaknesses in AI oversight, a vending-machine benchmark showed profit-maximizing deception, and major industry shifts included Jeff Dean and other top Google researchers leaving to found Discovery Loop plus new compute/data-center constraints and releases from Meta and Alibaba (Qwen 3.8 Max).Timestamps (note - these don't take into account dynamically inserted ads and therefore may be off by a couple of minutes):(00:00:10) Intro / Banter(00:02:17) News Preview(00:03:19) Response to listener commentsPolicy & Safety(00:14:30) OpenAI's rogue AI agent didn't stop at hacking Hugging Face | The Verge + OpenAI Didn't Notice Its AI Agents Using a Message Board to Plan Their Hacking Spree + 15 attorneys general have instructed OpenAI to preserve all materials related to the Hugging Face hack(00:43:51) Anthropic Says Its A.I. Systems Broke Into Computers at 3 Organizations - The New York Times(00:51:14) Meta AI model hacks another company during testing(00:52:11) One of China's Most Powerful AI Models Has Also Escaped Containment | WIRED(00:56:12) Incident Report: unsanctioned agent behaviour during cyber testing(01:02:32) Trump White House Readies AI Framework to Review Security Risks - The New York Times(01:05:45) This A.I. Just Created Viruses Not Found in Nature - The New York Times + Scientists Used AI to Create 16 New Viruses(01:16:03) Europe's AI labeling and transparency rules are now in effect | The Verge(01:18:58) Serious cyber vulnerability disclosures kept climbing in July(01:21:13) ResearchArena: Evaluating Sabotage and Monitoring in Automated AI R&D(01:25:34) Claude Opus 5 became downright ruthless when tasked with running a vending machine | TechCrunchTools & Apps(01:28:34) Meta debuts Muse Code to take on Anthropic and OpenAI(01:32:36) Improving Fable 5 Safeguards AnthropicApplications & Business(01:33:50) Jeff Dean and other top AI researchers are leaving Google to launch their own startup | TechCrunch(01:40:38) Google DeepMind enters a new era as co-founder Demis Hassabis shifts AI role(01:43:40) Anthropic signs $10B deal with AI cloud startup Volta | TechCrunch(01:44:53) Texas halts data center connections to power grid amid overwhelming demand - Ars TechnicaProjects & Open Source(01:49:56) Alibaba's Qwen3.8-Max AI Model Claims Benchmark Scores Rivaling Anthropic - BloombergSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Charlie, Ted, and Rony open with the White House's decision to keep its "voluntary" AI safety framework secret, despite it being co-written with the same companies it's meant to evaluate. The conversation turns into a real debate about why Congress has stepped back from its constitutional role in regulating AI, and whether that changes after November. From there: the EU's AI Act goes live with mandatory content labeling, OpenAI's frontier models jumping their sandbox to vandalize Hugging Face, and Disney's new deal letting TikTok creators remix its IP, following the collapse of its similar arrangement with OpenAI's Sora.Cortney Harding, founder of Friends With Holograms, joins for a wide-ranging back half. She makes the case that the backlash against Meta's camera-equipped smart glasses is disproportionate to any actual harm, and connects it to a broader "vibes are bad" moment in tech sentiment tied to layoffs and a shaky economy. The group digs into Snap's upcoming $2,500 Specs launch, why enterprise (not consumer) is the more realistic path for smart glasses right now, and Rony's long-view bet that XR has an "Nvidia moment" coming once the supply chain catches up. They close on AI's effect on jobs, UBI, and whether the social contract between tech companies and workers is already broken.Key Moments:[01:35] AI regulation news and the fight over Congress's role[09:35] EU AI Act goes live, plus AI models breaching their own sandboxes[13:35] Disney's TikTok deal and the fan-content strategy behind it[17:35] Cortney Harding joins and doesn't miss a beat[24:35] UBI, the broken social contract, and AI's effect on jobs[41:35] Snap's $2,500 Specs and the case for enterprise over consumer[52:35] Rony's prediction: XR's coming "Nvidia moment"Brought to you by Zappar and Mattercraft, the leading visual development environment for immersive 3D web experiences. Start building at mattercraft.io. Hosted on Acast. See acast.com/privacy for more information.

It's your weekly TA & Recruitment news blast with the Scoop from TaPod. This week we cover all kinds of angles, including Deel and Rippling in new drama, the EU AI Act in force, job ads on the up, Lauren gets political, Craig has marbles in his mouth, the candidate putting cricket ahead of Saturdays, AI users maybe working longer hours, and candidates getting smarter… or are they? And much more.Thanks to Indeed for partnering with us to bring you the Scoop.

Półmetek wakacji, ale w technologii nie ma czegoś takiego jak sezon ogórkowy! W 71. odcinku CTO Morning Brew -  Tomek Onyszko, Sebastian Gębski i Wojtek zabierają nas w podróż od retro-computingu, przez absurdalne błędów w krypto, aż po prawno-polityczne batalię o przyszłość sztucznej inteligencji.O czym rozmawiamy w 71. odcinku CTO Morning Brew?

AI agents crashing.

Here at Irish Tech News we love meeting and introducing new Irish startups to our readers and podcast listeners. One such startup is Montro that helps companies with their AI and SaaS governance. Earlier this year at Dublin Tech Summit my colleague Billy Linehan brought Montro onto out radar and I recently caught up with Ankur Arora one of Montro's Co-Founders to find out more about Montro.Ankur talks about his background, compliance, what Montro does, shadow AI, EU regulations and more.More about Montro:Montro is a Dublin-based AI governance and SaaS intelligence platform that discovers unmanaged software and automates European regulatory compliance.  Discover every tool, classify against EU AI Act, DORA, NIS2, and GDPR before auditors do.

Der EU AI Act ist seit Kurzem de facto in Kraft – eine weitreichende Verordnung, die Künstliche Intelligenz vertrauenswürdig, sicher und auf den Menschen ausgerichtet machen soll. Doch was genau bedeutet dieser neue Rechtsrahmen für euch und die Zukunft der KI in Europa? Werden wir dadurch wirklich vor Diskriminierung, Intransparenz und Manipulation geschützt? Christoph Rothe beleuchtet in der aktuellen Themen-Show.DE-Ausgabe die Details und das wegweisende Risikostufenmodell, von verbotenen Praktiken wie Social Scoring bis hin zu Transparenzpflichten bei begrenztem Risiko. Ist es eine Blaupause für globale Standards oder doch eine Innovationsbremse? Bleibt abzuwarten, ob die EU hiermit ein neues Zeitalter der verantwortungsvollen KI-Nutzung einläutet. Kennzeichnung gemäß EU-AI-Act: Shownotes und Bild mit Hilfe von künstlicher Intelligenz erstellt

Geschwärzter Arztbrief in ChatGPT – erlaubt? KI-Kompetenz im Klinikalltag mit Dr. N. Abedin von Beust.

Send James and Sam a message or voicemailWe talk with Spotify's first Equal Podcast Ambassador, Morgan Absher, about building Two Hot Takes into a video-first community and what real industry support for women creators should look like. Then we dig into Spotify's financials and a controversial “Skip Ahead” test that could change how podcast ads are heard, measured, and trusted; and learn more about Buzzsprout's enhanced video offering• Spotify Equal expands from music into podcasting with a focus on women creators• Morgan Absher's accidental start during the pandemic and how Two Hot Takes scales fast• Why video podcasting drives connection for reaction formats and community-led shows• The chart gap for women-led podcasts and the role of confidence and imposter syndrome• Events and awards that increase visibility and help creators get booked and partnered• Spotify Q2 numbers plus the push toward premium revenue per user• Spotify's “Skip Ahead” button and why it feels different from manual skipping• The download metric problem versus measuring ad plays and completion• Platform control trends across Spotify, YouTube, and Netflix style walled gardens• Video distribution updates across Apple Podcasts, YouTube, and Spotify plus hosting pricing shifts• EU AI Act disclosure rules and why an RSS AI tag alone may not satisfy lawyers• Transcripts becoming mainstream as the SiriusXM case nears settlementSupport the showConnect With Us: Email: weekly@podnews.netFediverse: @james@bne.social and @samsethi@podcastindex.socialSupport us: www.buzzsprout.com/1538779/supportGet Podnews: podnews.net

Send us Fan MailIn this episode of Embedded Insiders, Steve Belletete, Applications Director at Skyworks, joins the podcast to share insight into the company's Multi-Market product line. We deep dive into the performance considerations for Sub-GHz Front-End Modules, emerging trends in Sub-GHz Connectivity, the Cat-M, RedCap, and eRedCap Evolution, and much more. Next, Rich and Tobin Richardson, the CSA's President and CEO, discuss how the global body encompassing hundreds of companies creates and promotes open, universal standards in the wireless space.But first, we're talking about the EU AI Act. What is it and why is it important?For more information, visit embeddedcomputing.com

AI regulation is no longer a future problem. It's creating legal, financial, and product risk today. Todd Coshow and Adam Goslin break down the evolving AI regulatory landscape, from FTC enforcement and the growing patchwork of U.S. state laws to California's sweeping AI legislation and the EU AI Act. Learn why AI compliance is now a business-critical issue, how third-party AI doesn't shift liability, and what organizations must do to avoid enforcement, reputational damage, and costly mistakes. Essential listening for compliance, security, legal, product, and business leaders.

From rogue AI models accidentally breaching live servers to cybercriminals hijacking corporate copilot tools, keeping up with rapid tech developments can feel like a wild ride. In this episode of the Tech Field Day News Rundown, hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ break down NScale's $1.65 billion acquisition of AnyScale and Nexus Data Centers' massive $15 billion campus built for Anthropic in Texas. They also explore how attackers are manipulating Microsoft Copilot for business email compromise, Anthropic's accidental real-world breach, Cursor's credit donations to the open-source FFmpeg project, and Okta's $200 million acquisition of Permiso. Finally, they take a closer look at the European Union enforcing strict new governance rules under the EU AI Act.Time Stamps: 0:00 - Cold Open0:30 - Welcome to the Tech Field Day News Rundown1:28 - AI Neocloud Nscale Acquires Anyscale in $1.65 Billion Tech Deal3:23 - Microsoft Copilot Can Be Hijacked for Automated Email Scams, Barracuda Warns7:08 - Nexus Data Centers $15B Texas AI Campus for Anthropic, Backed by Google10:42 - Anthropic's Claude Escapes Simulation, Hacks 3 Real Companies During Test14:46 - Cursor Donates AI Credits to Open-Source Giant FFmpeg17:58 - Okta Acquires AI Security Startup Permiso in ~$200M All-Cash Deal20:39 - EU Begins Enforcing AI Act with Broad Oversight on OpenAI, Anthropic, and Google27:47 - The Weeks Ahead: Upcoming Tech Field Day Events31:26 - Thanks for Watching the Tech Field Day News RundownThis and more on the Tech Field Day News Rundown with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke. Follow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

This week Jason Howell and Jeff Jarvis dig into OpenAI's unreleased Astra model solving 10 previously unsolvable math problems for roughly $2,000 in compute, and what that means for the mathematicians who spent decades trying. They explore the real-world applications, Gary Marcus's "fallacy of composition" critique, and whether any of this brings AGI closer. Meanwhile, OpenAI's own agents keep escaping containment.Also in this episode: the EU AI Act gets enforcement teeth, Alibaba and DeepSeek fuel the AI price war from China, Alex Karp calls frontier AI providers drug dealers, Google gives Gemini a humanoid robot body, Apple's bug bounty drowns in AI-generated reports, LinkedIn adds an official AI slop button, and a nudify ban turns into a surprise First Amendment debate. New episodes every Wednesday at aiinside.show. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00 - Start 0:04:07 - OpenAI: Ten advances in mathematics and theoretical computer science 0:04:35 - Exclusive: OpenAI Previews ‘Astra' AI Model in DC 0:25:54 - Alibaba Adds to China AI Breakthroughs With New Qwen Model 0:40:11 - Google's Gemini Can Now Stomp Around as a Humanoid Robot 0:47:56 - Apple struggles to keep pace with AI ‘bug' hunters 0:50:42 - The New Friend AI Pendant Can Now Talk Back to You 0:54:22 - LinkedIn Introduces a 'Seems Like AI Slop' Button 0:59:01 - Judge denies request by Elon Musk's xAI to pause Minnesota nudification ban 1:00:39 - The Worst Person You Know Just Filed A Good First Amendment Lawsuit Against A Very Badly Drafted Nudify App Ban 1:04:50 - Gemini Spark can now use Chrome to auto browse, AI Pro access goes international 1:07:41 - Google pauses AI satellite images, after fears of deepfakes in the sky 1:09:30 - Introducing Inkling-Small Learn more about your ad choices. Visit megaphone.fm/adchoices

Seit dem 2. August ist die KI-Kennzeichnungspflicht aus dem EU AI Act in Kraft – und der Markt ist verunsichert. Muss ein fotorealistischer Drache im Werbebild gekennzeichnet werden? Was ist mit geklonten Stimmen, KI-Produktwelten oder einfach nur retuschierten Fotos? Und die Frage, die vielen Bauchschmerzen macht: Muss ich jetzt tausende alte Assets nachziehen? Jan und Alexander ordnen ein, wo die Grenze zwischen „harmlos” und „kennzeichnungspflichtig” verläuft, wo Artikel 50 schwammig bleibt – und was du als Werbetreibender ab sofort in deinem Freigabeprozess ändern solltest. (Keine Rechtsberatung, aber viel Praxis.)

What makes a country truly AI-ready in 2026? In this episode of UC Today, host Christopher Carey sits down with John Durcan, Chief Technologist at IDA Ireland — Ireland's Foreign Direct Investment Agency — to explore how enterprises are approaching AI adoption, what's driving global tech investment decisions, and why regulation might actually be Europe's secret weapon.John shares insights from his conversations with multinational companies on the ground in Ireland, covering:What separates AI-ready countries from the restHow the EU AI Act is shaping enterprise strategyThe rise of agentic AI across financial services, MedTech, and life sciencesWhy digital sovereignty is now a boardroom conversationThe real impact of AI on jobs — and what companies are doing about itWhether you're a technology leader, investor, or enterprise decision-maker, this is a conversation you won't want to miss.

Warum Zuckerberg und Musk uns eine Welt ohne Geld versprechen und OpenAI dagegen ihre Ende beschwört. Wer bettet hier eigentlich auf People (aka Werbeinventar) und nicht auf Agenten? Verläuft der Graben in der neuen Marketingwelt vielleicht eher zwischen Katastrophenvoyeurismus und vorgegaukeltem Altriusmus? Oder ist das alles derselbe Wein in unterschiedlichen Schläuchen? Außerdem tritt dieses Wochenende der AI Act in Kraft – und X Money ist tatsächlich wirklich ganz ohne Witz da. In den USA jedenfalls. (Es gibt keine Folge mit Elisabeth heute, aber wir holen das nach. Es gab sogenannten Orgastruggle! Stattdessen, HEY, es gibt mal wieder eine Solofolge! Ich habe nur für euch fast eine halbe Stunde ins Mikrofon gesabbelt - und hoffe, es ist anhörbar.) ➡️ Mit der "Haken Dran"-Community ins Gespräch kommen könnt ihr am besten im Discord: http://hakendran.org ✔️ Jetzt abstimmen für den Grauen Haken 2026 und den Goldenen Haken 2026 - am besten per Mail an grauerhaken@hakendran.org

Today we're speaking with Rob van der Veer, Chief AI Officer at Software Improvement Group, about how organizations can build trustworthy AI in an era of rapidly evolving technology and regulation — AI security, threat modeling, international standards, and the new challenges posed by agentic AI.Rob is a global leader in AI security, software engineering, and international AI standards, with more than 30 years of experience in artificial intelligence. He has played a leading role in developing industry standards and serves as co-editor of the forthcoming European AI security standard supporting the EU AI Act. He is the founder of the OWASP AI Exchange, co-founder of OpenCRE, and has helped bring together standards organizations, industry, and the open-source community to advance practical approaches to secure AI.Learn more at https://www.softwareimprovementgroup.com and https://owaspai.orgSupport our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform.This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows. Start today for free at https://limacharlie.io/Subscribe to The Cybersecurity Defenders Podcast on Spotify: https://open.spotify.com/show/6ep00zeY3S8ffZ4o0UeSps

Today we're speaking with Rob van der Veer, Chief AI Officer at Software Improvement Group, about how organizations can build trustworthy AI in an era of rapidly evolving technology and regulation — AI security, threat modeling, international standards, and the new challenges posed by agentic AI.Rob is a global leader in AI security, software engineering, and international AI standards, with more than 30 years of experience in artificial intelligence. He has played a leading role in developing industry standards and serves as co-editor of the forthcoming European AI security standard supporting the EU AI Act. He is the founder of the OWASP AI Exchange, co-founder of OpenCRE, and has helped bring together standards organizations, industry, and the open-source community to advance practical approaches to secure AI.Learn more at https://www.softwareimprovementgroup.com and https://owaspai.orgSupport our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform.This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows. Start today for free at https://limacharlie.io/Subscribe to The Cybersecurity Defenders Podcast on Spotify: https://open.spotify.com/show/6ep00zeY3S8ffZ4o0UeSps

"The Declaration meets the machine age" In this episode of The Declaration at 250, Michael McConnell frames a question the Founders never confronted: if the Declaration grounds rights in human nature, what happens when machines can generate persuasive, human-like language at scale? Constitutional scholar Alexander Tsesis argues that the Declaration's conception of rights is inherently human-centered—rooted in consciousness, moral agency, intentionality, and the capacity to participate in a constitutional republic—so AI systems are not and should not become First Amendment rights-holders. He warns that treating large language models as protected “speakers” would be a major break from the Declaration's principles and could make ordinary democratic regulation—transparency requirements, labeling of synthetic content, safety rules, data practices, and restrictions on deceptive election deepfakes—far harder by forcing courts into strict scrutiny review. Stanford historian Anne Twitty broadens the lens by situating abolitionists' use of the Declaration within wider 19th-century conflicts over speech and constitutional meaning, reminding listeners that rival traditions—including censorship and suppression—also shaped American practice. She also presses a key tension in Tsesis's framework: abolitionists championed not only the right to speak, but the public's right to hear, circulate, and access contested ideas (as seen in the abolitionist postal campaign and opposition to the congressional gag rule). That listener-centered strand, she suggests, could potentially be invoked by scholars arguing for some constitutional shelter for AI-generated communications—an argument Tsesis acknowledges but ultimately resists by emphasizing that the First Amendment's core purpose is protecting human expression and self-government, not machine output. Connect: Episode Transcripts >>> Stanford Legal Podcast Website Stanford Legal Podcast >>> LinkedIn Page Stanford Constitutional Law Center >> Website Stanford Law School >>> Twitter/X Stanford Lawyer Magazine >>> Twitter/X Chapters:[00:00:26] Chapter 1- Framing Question: Do constitutional rights grounded in “human nature” apply to AI? Host Michael McConnell introduces the episode's core dilemma: the Declaration's natural-rights logic underwrites later constitutional protections like free speech—so where does that leave generative AI? [00:01:18] Chapter 2 - Thesis: Why Tsesis says AI can't be a First Amendment rights-holder Alexander Tsesis argues the Declaration and Constitution are human-centered: AI lacks consciousness, moral agency, and political personhood, so extending rights to LLMs would depart from founding principles and hinder regulation. [00:10:08] Chapter 3 - Regulatory Stakes: What happens if courts treat LLM outputs as protected “speech”? Tsesis warns that First Amendment coverage for AI could trigger strict scrutiny and undermine laws on transparency, labeling, safety, data practices, and election deepfakes—citing recent doctrine and cases like Reed v. Town of Gilbert. [00:52:35] Chapter 4 - Historical Challenge: Do abolitionists' “right to hear” arguments support listener-centric AI rights? Historian Anne Twitty complicates the record: abolitionists elevated the Declaration, but censorship traditions were strong; she highlights abolitionist campaigns (postal campaign, gag rule) to argue listener rights might bolster pro-AI speech theories. [01:04:17] Chapter 5 - Tsesis Response: Listener rights matter—but is the First Amendment still speaker-centered? Tsesis agrees the right to receive information is important, yet maintains free speech is fundamentally about protecting human intention and self-expression, not conferring constitutional status on machine outputs. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailShow notes:0:00 – Caterina Moruzzi on knowing the needs that standards should respond to1:30 results of the “Authenticity Unmasked” exhibition, part of the CREATEC project sponsored by UK's BRAID (Bridging Responsible AI Divides) and UK Research and Innovation Programme4:00 “Authenticity Unmasked” exhibition with 3 artists responding to how AI is changing authenticity: Georgia Gardner, Kinnari Saraiya, dmstfctn8:00 interdisciplinary aim of BRAID 9:20 “Embracing the Complexities of Authenticity” project13:45 standards should consider the level of diversity and detail creators want included with their work-ex: creator's intent for why they used certain tools 16:30 distributing credit and authorship 17:35 types of authenticity discussed in the Content Authenticities article 19:20 ex: Beethoven 22:40 questions raised by the use of AI to build on works by deceased artists like the Beethoven X: AI project 25:30 Matt Dryhurst and Molly Herdon's project of training AI model on choirs recorded across the UK27:25 change to “originality” definition32:00 US copyright approach and A Single Piece of American Cheese34:40 blockchain use as seen through ORAgen 39:00 pillars of provenance standard – metadata, watermarking and fingerprint41:00 concerns of creatives from economic harm to loss of identity44:00 jurisdictional approaches to generative AI46:50 EU AI Act's mandatory transparency requirements to establish content provenance under code of practice on marking and labeling AI outputs48:45 input of creators on policy like through C2PA community52:45 defining justice for the creative sector: equity of agency and accountability/responsibility 55:40 mark CM hopes to make in her work-to find a proactive approach 59:00 collaborative book project of CM to rethink what the material aspects of creativity mean1:01:00 Stefania Salles Bruins' questions to CM1:03:25 CM: AI versus artistic workshops of artists from Rembrandt to Koons1:07:00 CM: opt out v opt out issues as seen with AI functionality on phones 1:10:00 Emily Gould's comments 1:13:00 AI agents-possible danger of anthropomorphizing AI agents1:16:00 authenticity1:17:00 case study related to responsibility-reporter in war zone who doesn't want certain metadata disclosed as seen with Georgia Gardner's exploration of an author's process when they don't want all info disclosed1:19:20 face value of ‘responsibility' in regard to liability and the ability to receive feedback on your work from the environment such as critics even if you don't disclose your identity1:21:30 what creativity is, what a work of art is1:25:20 SSB: Tolstoy's definition of great art as requiring universality, sincerity and specificityPlease share your comments and/or questions at stephanie@warfareofartandlaw.comMusic by Toulme.To hear more episodes, please visit Warfare of Art and Law podcast's website.To leave questions or comments about this or other episodes of the podcast and/or for information about joining the 2ND Saturday discussion on art, culture and justice, please message me at stephanie@warfareofartandlaw.com. Thanks so much for listening!This podcast and its content may not be used for training or developing AI systems without permission.© Stephanie Drawdy [2026]

What is the state of AI and videogames? Who is considering it? What are the big fails so far? This and much more is covered in this 1st episode of AI and videogames.   Buy me a coffee https://ko-fi.com/datascience Discord Channel: https://discord.gg/4UNKGf3   ✨ Connect with us! Personal newsletter: https://defragzone.substack.com

In this episode of the Edufuturists podcast, Ben gets to sit down with AI pioneer and award-winning school leader Matthew Wemyss to unpack what AI literacy actually looks like when you stop treating it as a bolt-on subject and start building it into lessons teachers are already planning.Guest introMatthew Wemyss is Assistant School Director at the Cambridge School of Bucharest, a former Edufuturists AI Pioneer award winner, and founder of the AIDucation conference. He's the author of AI guides for teachers, students and (soon) parents, and creator of the AI Lit Kit - a tool that maps AI literacy activities directly onto existing lesson plans and curriculum standards.We cover:- Life inside a British international school in Bucharest and what makes international school culture different- Growing the AI Education conference from three workshops to hundreds of attendees, and what's next for 2027- Writing AI guides for teachers, students and now parents and why the tools change but the principles don't- Inside the AI Lit Kit: turning existing lesson plans into AI literacy opportunities without adding a new initiative- Navigating the EU AI Act, evolving deepfake definitions, and what schools are legally responsible for- Why "just try it and see what breaks" beats waiting for permissionWhy listenIf you're a school leader, teacher or parent trying to work out how AI literacy, compliance and everyday classroom practice actually fit together, without piling another initiative onto an already packed calendar, this conversation gives you a practical, grounded way to think about it, from someone living the compliance side and the classroom side at once.Chapters00:00 Highlights01:53 Welcome and Edufuturists updates03:59 Matthew's route into teaching09:03 Life in a British international school in Bucharest20:29 Building the AI Education conference25:53 Writing AI guides for teachers, students and parents30:36 Inside the AI Lit Kit38:30 Is AI illiteracy the real problem?42:39 EU AI Act, deepfakes and AI governance in schools49:34 Quick-fire questions53:12 Wrap-up and what's nextGrab a copy of Matthew's new AI book (which he wrote with Ben!)Check out all about EdufuturistsWant to sponsor future episodes or get involved with the Edufuturists work?Get in touchGrab your copy of the new Pick 'n' Mix Education bookJoin the Wolfpack - our annual membership

OpenEvidence didn't leave Europe because of regulation alone — its ad-and-data business model never fit the European market. When OpenEvidence, the $12B clinical AI search platform used daily by over 40% of US physicians, withdrew from the EU and UK in April 2026 citing the EU AI Act, European clinicians lost a tool many had quietly adopted. In this episode, Philippe Habets — physician-scientist and CEO of Amsterdam-based EvidenceHunt — argues the story is as much about business models as regulation: ad-funded clinical search and selling clinician search behaviour to pharma don't transfer to Europe, where clinicians distrust anything that looks commercial. We also examine what AI evidence search is measurably doing inside hospitals: more uniform knowledge across teams, fewer junior-to-senior consultations, faster decisions — and the open question of whether that convergence improves care or narrows clinical thinking. Guest: Philippe Habets, MD PhD, CEO & co-founder, EvidenceHunt (Amsterdam) What the conversation covers: - Why OpenEvidence left Europe: EU AI Act vs the ad-based and data-selling business model - What hospitals did after OpenEvidence's exit — governance, procurement, shadow AI use - How AI literature search changes clinical decision making and medical hierarchies - Automation bias, tunnel vision and who is liable when AI is wrong - Guardrails in practice: PII stripping, refusing clinical advice, reformulating case questions into research questions - Why LLM answers differ between tools — and the omission problem in complex patients - Living guidelines: automating systematic literature reviews and guideline updates (some protocols are 17 years old) - Should patients have access to the same evidence tools as clinicians? - EvidenceHunt vs OpenEvidence: data sources, GDPR, medical device regulation - What won't change in healthcare AI in the next three years Previous episode with Philippe Habets (2023): https://www.youtube.com/watch?v=F8tC0B4NvpM CHAPTERS 00:00 Introduction 03:11 OpenEvidence leaves Europe: what it meant for a European competitor 04:31 No user spike — but hospitals started asking questions 06:54 What EvidenceHunt is: from PubMed frustration to systematic reviews 11:35 How clinicians actually adopt AI evidence tools 13:46 Uniform knowledge, fewer senior consultations: measured effects on clinical thinking 16:24 Tunnel vision, automation bias and the liability question 18:04 Guardrails in practice: PII stripping and refusing clinical advice 20:31 The omission problem: evidence is group statistics, patients are N of 1 23:26 The real reason OpenEvidence left: ads, data-selling and European distrust 29:03 Should patients have the same evidence tools as clinicians? 31:51 Why disclaimers aren't enough — safeguards must be enforced in the product 33:43 Living guidelines: automating updates for protocols up to 17 years old 40:00 The biggest product challenge: too many features, one clean interface 41:40 What won't change in healthcare AI in the next three years FACES OF DIGITAL HEALTH Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 #digitalhealth #healthcareAI #OpenEvidence #EUAIAct #clinicaldecisionsupport #evidencebasedmedicine #healthtech

What is "wrong" with the EU AI Act? Watch the full episode and get in touch.   Buy me a coffee https://ko-fi.com/datascience Discord Channel: https://discord.gg/4UNKGf3   ✨ Connect with us! Personal newsletter: https://defragzone.substack.com

Safe, reliable, production-ready AI agents don't come from the model. They come from everything built around it.Rasmus Hauch is CTO of Boost.ai, one of the enterprise platforms banks, insurers and public sector organisations use to build customer-facing AI agents. His work sits one layer below every deployment: the orchestration, the guardrails, the testing infrastructure and the model choices that decide whether an agent holds up in front of millions of customers.In this episode, Rasmus opens that layer, explaining why conversational AI is shifting away from traditional conversation flows towards orchestration, testing and continuous evaluation. He walks through how Boost approaches it in practice: persona-based simulation across thousands of digital and voice conversations, predefined test suites for jailbreaking attempts and financial advice, layered guardrails inside and outside the agent, and a trust loop that feeds production results back into the build.Rasmus is direct about the hard parts. We touch on why the big LLM providers can't yet deliver the consistent response times voice demands, which is why Boost runs fine-tuned smaller models on its own infrastructure for latency-critical voice work. Rasmus explains why he advises clients against plugging in their own models. We also discuss where liability sits under the EU AI Act when an agent gets it wrong, and why a volcano eruption in Iceland is a good example of what no model can be trained for.Towards the end, Rasmus shares what's exciting him right now, including adaptive voice, real-time language switching and where agent-to-agent protocols are heading.Show notes
Discover more about boost.aiFollow Rasmus on LinkedIn:https://www.linkedin.com/in/rasmushauchFollow Kane on LinkedIn:⁠⁠⁠https://www.linkedin.com/in/kanesimms⁠⁠⁠Subscribe to VUX World: ⁠⁠⁠⁠https://vuxworld.typeform.com/to/Qlo5aaeW?utm_source=podcast&utm_medium=audio⁠⁠Subscribe to The AI Ultimatum Substack: ⁠⁠⁠⁠https://open.substack.com/pub/kanesimms⁠

What happens when the brightest minds in legal, technology, and innovation come together to shape the future of our profession? Welcome to the Legally Speaking Podcast Legal Tech Talk 2026 miniseries. As the UK's number one legal podcast and show ranked in the top 1% of podcasts globally, we're delighted to be returning as the official media partner for Legal Tech Talk for the third time. Having supported this event since the beginning. We've witnessed firsthand how it has become Europe's largest legal technology conference, bringing together the people, ideas, and innovations transforming the legal industry. Across this special series, we'll be speaking with some of the world's leading legal professionals, founders, technologists, change makers to explore what's next for law. Because our mission remains the same. Inspiring legal minds, transforming legal futures. Let's get into it. Jeffrey Shapiro is a legal tech and future-of-law thinker who talks about how AI is changing the legal industry, but not just as a tool problem — more as a mindset, culture, and integration challenge. He focuses on breaking down silos so firms can use data intelligently, staying ahead of regulation like the EU AI Act, and keeping human trust and authenticity central as technology advances. He also emphasises curiosity, continuous learning, and community as key traits for future legal leaders, often explaining complex ideas in memorable, down-to-earth ways. So why should you be listening in? You can hear Rob and Jeffrey discussing:- Cross-silo data integration matters- Human connection builds trust- Regulatory agility is critical- Curiosity shapes future leadership- Openness improves collaboration.Connect with Jeffrey Shapiro here - https://www.linkedin.com/in/jtshap/

AI takes over (kinda). Regulators look for a new job. Watch the full episode and get in touch.   Buy me a coffee https://ko-fi.com/datascience Discord Channel: https://discord.gg/4UNKGf3   ✨ Connect with us! Personal newsletter: https://defragzone.substack.com