Podcasts about eu ai act

Ulf Valentin ist Partner bei der Convidera GmbH in Köln. Die Digitalberatung verbindet seit rund 15 Jahren Systeme und Prozesse, damit Industrieunternehmen mehr Umsatz generieren – ohne CRM-Einführungen. Valentin baut mit seinem Team „Digitale Revenue Systeme" und kennt den mehrstufigen B2B-Vertrieb aus Projekten in Industrie, Bau und Chemie. Seine Keynote „KI zerstört den mehrstufigen Vertrieb" sorgte auf der digitalBAU für Aufsehen. In dieser Folge: KI im Vertrieb – diese Use Cases bringen sofort mehr Umsatz. Ulf Valentin zeigt an echten Projekten, wo künstliche Intelligenz im Vertrieb schnell messbar wirkt: E-Mail-Kategorisierung im Innendienst mit 96 Prozent Trefferquote, Reiseberichte per Sprachassistent, automatische Reaktivierung schlafender Bestandskunden und der Konfigurator als Lead-Maschine. Dazu erklärt er den Chat-GPT-Bias, zwei Wege zur KI-Einführung – Zielbild oder Experimente – und warum Datenschutz und EU AI Act kein Grund sind, nichts zu tun.

Last week, the resignation of Anthropic researcher Jacob Coxon catapulted the discussion over AI safety into the mainstream. A thread he posted on X quickly garnered millions of views.“The consensus is that the next year or two is crunch time for humanity,” Coxon later told tech publication Wired. “From [my former colleagues'] perspective, this is when Anthropic and its competitors decide the fate of humanity.”How is this debate materialising in Europe, where no AI company is pushing the frontier? What are startups' take on safety and security? And what do investors make of it? Joining host Freya Pratty on this episode of the Sifted podcast is senior reporter Daphné Leprince-Ringuet. The pair also dig into Europe's rising wave of defensive startups, as well as everyone's favourite topic: the EU AI Act.Sign up to Daphné's AI newsletter here: https://sifted.eu/newslettersAre agents moving faster than Europe can regulate them? Read here: https://sifted.eu/articles/ai-agents-anthropic-openai-eu-uk-lawsThis podcast was brought to you by Stripe.

In this edition, Host & audio engineer Ashea is joined by Production Expert Founders Mike Thornton and Russ Hughes & post-production audio engineer Paul Maunder, to address one of the most significant regulatory changes affecting the audio and music production industry: the new EU AI Act. With implementation now in force, this episode cuts through the hype and confusion to explain exactly what the law requires, how it applies to audio professionals, and what both individuals and platforms must do to comply.The conversation covers the practical implications for anyone using AI voice generation (like 11 Labs), AI-assisted editing tools, or working with platforms like Spotify and YouTube. The team breaks down machine-readable marking requirements, disclosure obligations, audio watermarking technology, platform accountability, and what the experience with GDPR implementation can teach us about enforcement. This episode is essential for every audio professional seeking clarity on regulatory compliance and industry integrity in the AI era.In This Episode:EU AI Act Overview: GDPR for AI — How the EU AI Act functions as 'GDPR for artificial intelligence,' applying to any content played in the European Union regardless of where it was createdDeepfakes Defined: Beyond Celebrity Videos — The law's broad definition of 'deepfakes' as anything that could be misconceived as human-made but is AI-generated, including voice synthesis, video, and imagesMachine-Readable Marking Requirements — How AI system providers must embed technical metadata into AI-generated content so it can be automatically detected by machines and platformsDisclosure Requirements for Deployers — Content creators and distributors must explicitly disclose to audiences when content contains AI-generated or manipulated audio/videoThe Disclosure Chain: Creators to Audience — How disclosure cascades through the value chain: if you use 11 Labs for voiceover, you tell your client, who tells their audienceAI Cleanup Tools Exemption — The law doesn't apply to AI-assisted editing or enhancement tools unless the regenerated content becomes the primary focusPro Tools Generative Features Impact — Real-world example: if you use generative AI to regenerate missing words in a voiceover dropout, you must disclose thisSpotify's Rapid Implementation — Within days of the EU Act coming into force, Spotify implemented labeling showing listeners when content uses AIYouTube's Platform Immunity Defense — YouTube's claim that they're merely a platform; how this misinterprets the law and shifts burden inappropriatelyPlatform Responsibility vs. Creator Responsibility — Why YouTube, Facebook, and Instagram should be held accountable as publishers of content, not just neutral platformsClaude's Watermarking Response — How Claude added digital watermarking to AI text within days, demonstrating rapid compliance by major AI providersMachine-Readable vs. Human-Perceptible Disclosure — The distinction between technical watermarking (for machine detection) and human-friendly disclosure (text/audio announcements)Audio Watermarking Technology: Silent Cypher — Sony's deep audio watermarking technology that embeds imperceptible marks in audio frequency rangesAudio Brain for Mac: Emerging Audio Watermarking — New tools providing audio watermarking specifically for Mac OS, representing rapid tool development for complianceComplex Mixes and Watermarking Challenges — How tracking individual AI-generated elements within massive film mixes presents technical detection challengesGDPR as Enforcement Precedent — Since 2018, GDPR fines total ~€7 billion; this historical data proves regulatory enforcement intentionBig Players vs. Small Businesses — Enforcement targets Spotify, YouTube, Facebook—not individual creators; the law aims to bring major platforms into complianceCopyright Protection Gaps — The EU Act and US No Fakes Act don't adequately address copyright of training data and content protectionUS Copyright Office Stance: Prompt-Driven AI — US Copyright Office denies copyright to purely prompt-driven AI output; Invoke AI's successful appeal shows lines are still being drawnCreative Use of AI vs. Deceptive Use — Distinguishing between legitimate transparent creative use (like T-Pain's autotune) vs. deceptive undisclosed useProfessional Responsibility: Setting Standards — How professionals in audio should embrace the law and set standards themselves rather than waiting for enforcementWhy Imperfect Laws Still Matter — No law is perfect, but laws represent our best effort at improvement and societal standardsRace to the Bottom Without Standards — How lack of regulatory enforcement creates industry pressure to adopt AI, lower rates, and compromise qualityHypocrisy in Industry: The MPSE Poster Incident — Example of major audio professionals organization using generative AI while advocating against AI job displacementYouTube's Selective Compliance — How YouTube selectively enforces responsibility when reported violations occur, claiming external responsibilityAbout Our Guests:Mike Thornton:Co-founder of Production Expert and host of the Production Expert Podcast. Mike serves as industry commentator and facilitator of important conversations between technology companies and the professional audio community. In this episode, Mike moderates discussions on AI regulation and compliance.Russ Hughes:Co-founder of Production Expert. Russ provides deep technical and regulatory expertise on the EU AI Act, explaining how it differs from GDPR and what the law actually requires of audio professionals and platforms. Russ has researched the act thoroughly for audience guidance.Paul Maunder:Longstanding team member at Production Expert and post-production audio engineer. Paul contributes practical experience on how the new law applies in real-world audio workflows, including examples of Pro Tools, audio watermarking solutions, and the realities of tracking AI-generated elements within complex mixes.About Our Host:Ashea is a platinum-selling songwriter, music producer, and audio engineer from the UK. With credits spanning notable artists, major labels, and prestigious broadcasters, Ashea brings authentic conversations between industry professionals to the Production Expert Podcast. Her commitment to discussing both the creative and business sides of audio production, including regulatory and compliance issues affecting the industry, makes her an ideal facilitator for important professional conversations.

Together with DXC, we break down what the EU AI Act means for banks and financial services teams, from the risk-based categories to the practical reality of enforcement across countries. We also explain why the phased deadlines still require action now and how strong AI governance can become a competitive advantage rather than merely a cost. The purpose of the EU AI Act and its focus on safe, transparent, ethical AI the four risk levels and what counts as unacceptable risk versus high risk high-risk banking use cases like credit scoring, lending decisions, insurance underwriting and pricing the fraud and anti-money laundering exception and why intent matters what has already entered into force and what moves to December 2027 why customer-facing AI must disclose it is AI how one EU rulebook still leads to national enforcement complexity how to handle EU, UK and US differences by building to the toughest standard why compliance can boost trust, resilience and reduce fines and reputational damageThank you for tuning into our podcast about global trends in the FinTech industry.Check out our podcast channel.Learn more about The Connector. Follow us on LinkedIn.CheersKoen Vanderhoydonkkoen.vanderhoydonk@jointheconnector.com#FinTech #RegTech #Scaleup #WealthTech

Die letzten Monate waren geprägt von neuen Foundation Models für tabellarische und sequentielle Daten: TabPFN 3 skaliert auf eine Million Beobachtungen, Google stellt mit TabFM ein eigenes Modell samt BigQuery-Integration vor, NXAI veröffentlicht TiRex-2 mit Kovariaten-Unterstützung, und an der Spitze von GIFT-Eval steht mit STRIDE eine Kombination aus LLM-Reasoning und Time Series Foundation Model. Dazu kommen der ClickHouse-MCP-Server und der Stand der Umsetzung des EU AI Act nach dem Digital Omnibus. Im Praxisteil vergleichen wir TabICL v2 mit einem getunten XGBoost, Meta Prophet und naiven Baselines auf stündlichen NO2-Messwerten von fünf Messstationen, ausgewertet über ein Jahr rollierender Kreuzvalidierung mit dem Mean Absolute Scaled Error. Wir zeigen, welches Feature-Engineering nötig ist, wie sich der Vorteil von TabICL mit der Länge der Historie verändert und was das an Rechenzeit kostet. Zum Schluss ordnen wir ein, wann sich ein Foundation Model für Zeitreihen anbietet und wann XGBoost die pragmatischere Wahl bleibt.   **Zusammenfassung** TabPFN 3 (Mai 2026) skaliert auf einer H100 auf bis zu 1 Mio. Beobachtungen; verbessertes KV-Caching senkt die Prognosezeit auf 0,1–3 ms pro Testbeobachtung und macht das Modell für schnelle Batch-Prognosen nutzbar. Googles TabFM ist von TabPFN und TabICL inspiriert, liegt im TabArena-Benchmark vor TabPFN 3 und ist direkt in BigQuery integriert. TiRex-2 von NXAI setzt auf eine xLSTM- statt Transformer-Architektur und kann jetzt zusätzliche Kovariate einbeziehen – ein Test steht bei uns noch aus. STRIDE führt den GIFT-Eval-Benchmark an: Das LLM prognostiziert nicht selbst, sondern steuert über destillierte Embeddings ein Time Series Foundation Model. Kurz notiert: Der ClickHouse-MCP-Server (v0.4.1) erlaubt LLM-Abfragen ohne SQL, etwa zur Log-Diagnose; beim EU AI Act gelten die Transparenzpflichten seit August, die Kennzeichnung von Bestandssystemen greift ab dem 2.12.2026. Praxis-Setup: TabICL v2 mit Kalender-, Fourier- und Lag-Features gegen getuntes XGBoost, Prophet, TabICL out-of-the-box sowie Naive und Seasonal-Naive; stündliche NO2-Daten, 24-Stunden-Horizont, Metrik MASE. Ergebnisse: Bei zwei Jahren Historie liegt TabICL klar vorn, bei rund 8.000–9.000 Trainingsbeobachtungen ist XGBoost praktisch gleichauf, bei drei Monaten Historie noch etwa 4 % schlechter; ohne jedes Feature-Engineering schlägt TabICL Prophet und die naiven Baselines deutlich. Kosten: Die Kreuzvalidierung mit TabICL auf einer L40S-GPU dauert etwa 17-mal länger als mit XGBoost, auf CPU ist das Modell nicht praktikabel – Caching dürfte diesen Nachteil künftig verkleinern.   **Links** Link zum begeleitenden Blogartikel "TabICL v2 für Zeitreihen: Das In-Context-Learning-Modell im Vergleich mit XGBoost und Meta's Prophet" https://www.inwt-statistics.de/blog/tabicl_v2_fuer_zeitreihen #72: TabPFN: Die KI-Revolution für tabulare Daten mit Noah Hollmann https://www.podbean.com/ew/pb-94ri2-18aca83 #57: Mehr als heiße Luft: unsere Berliner Luftschadstoffprognose mit Dr. Andreas Kerschbaumer https://www.podbean.com/ew/pb-u6xwt-16ff139 TabPFN-3 Technical Report: https://priorlabs.ai/technical-reports/tabpfn-3 TabPFN auf GitHub: https://github.com/PriorLabs/TabPFN Google Research zu TabFM: https://research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/ TabFM in BigQuery: https://cloud.google.com/blog/products/data-analytics/tabfm-adds-predictive-ml-to-bigquery TiRex-2 (NXAI): https://www.nx-ai.com/en/tirex-2 | Code: https://github.com/NX-AI/tirex-2 | Paper: https://arxiv.org/abs/2607.01204 STRIDE – Reasoning-Aware Training for Time Series Forecasting: https://arxiv.org/abs/2605.08625 Time Series LLMs am Beispiel t0-alpha: https://towardsdatascience.com/time-series-llms-explained-with-t0-alpha/ ClickHouse MCP Server: https://github.com/ClickHouse/mcp-clickhouse EU AI Act nach dem Digital Omnibus (Überblick): https://www.deloitte.com/de/de/issues/innovation-ai/eu-ai-act-digital-omnibus.html TabICL v2 auf GitHub: https://github.com/soda-inria/tabicl TabICL-Dokumentation: https://tabicl.readthedocs.io/en/latest/ Tutorial zum TabICLForecaster: https://tabicl.readthedocs.io/en/latest/tutorials/time_series_forecasting.html Meta Prophet: https://github.com/facebook/prophet GIFT-Eval Leaderboard: https://huggingface.co/spaces/Salesforce/GIFT-Eval TabArena Leaderboard: https://huggingface.co/spaces/TabArena/leaderboard  

Half of consumer question the authenticity of what they see online.

Sende uns deine Meinung! :)Österreich plant vollständig automatisierte Behördenbescheide. Nach der Regierungsvorlage 539 d.B. sollen Behörden bestimmte schriftliche Entscheidungen künftig ohne menschliche Prüfung und Genehmigung erlassen können. Möglich wären nicht nur regelbasierte Programme. Laut den offiziellen Erläuterungen kann auch maschinell lernende KI eingesetzt werden.In dieser Podcast-Folge erkläre ich, was der geplante § 18a AVG bedeutet, bei welchen Verfahren automatisierte Entscheidungen möglich wären und welche Rechte Betroffene haben sollen. Besonders wichtig: Gegen einen automatisierten Bescheid wäre grundsätzlich binnen zwei Wochen eine Vorstellung möglich, damit anschließend ein Mensch entscheidet. Die Vorlage ist derzeit noch nicht geltendes Recht und befindet sich im parlamentarischen Verfahren.In dieser Podcast-Folge erfährst du:• was ein vollständig automatisierter Bescheid ist• warum Automatisierung nicht immer KI bedeutet• welche Behördenverfahren betroffen sein könnten• wie du einen automatisierten Bescheid erkennst• warum die Zwei-Wochen-Frist entscheidend wäre• was DSGVO und EU AI Act dazu sagen• warum die Behörde einen Bescheid auch zu deinem Nachteil ändern könnteDiese Podcast-Folge dient der allgemeinen Information und ersetzt keine Rechtsberatung im Einzelfall. Maßgeblich sind die konkrete Rechtsmittelbelehrung und die bei Zustellung geltende Rechtslage.#JusProfi #KIRecht #BehördenbescheidViel Vergnügen bei dieser JusProfi Podcast-FolgeDISCLAIMER:Bitte beachtet: Diese Podcast-Folge dient ausschließlich Infotainment-Zwecken und stellt keine anwaltliche Beratung dar. Ich bin kein Anwalt und die Informationen und Meinungen, die in dieser Podcast-Folge geäußert werden, sind kein Ersatz für professionelle rechtliche Beratung und sollen es auch nicht sein. Bitte wendet euch immer an einen qualifizierten Anwalt, wenn ihr rechtliche Fragen habt.Übrigens, dieses Equipment verwende ich für die Podcasts:Kamera: https://amzn.to/3iq4McjMikrofon: https://amzn.to/3XcbFgoStativ: https://amzn.to/3ZnHwwjSchnitt: https://amzn.to/3QvnnQI(Disclaimer: Es handelt sich um Affiliate Links)Besucht uns auf:https://www.jusprofi.athttps://www.facebook.com/jusprofi.athttps://www.instagram.com/jusprofi/?hl=dehttps://www.linkedin.com/company/jusprofiHört euch alle unsere Podcasts an, überall wo es Podcasts gibt :)Support the show

EU AI Act is Now in Force! What Recruiters Need To Do Now   The EU AI Act is no longer a future concern - it's live, enforceable, and already reshaping how organisations can use artificial intelligence in hiring. For recruiters and talent acquisition teams, this isn't just a compliance headache for the legal department. If your tech stack includes AI-powered sourcing, CV screening, video interviewing, or candidate assessment tools, the Act directly affects you. The stakes are high: non-compliance can trigger fines of up to 7% of global annual turnover, and the rules apply to any employer hiring within the EU, regardless of where the company is headquartered. Yet many TA teams are only now waking up to what "high-risk AI system" means in practice. In this session, we'll cut through the regulatory noise and focus on what recruiters actually need to do - and do quickly - to stay on the right side of the law without grinding their hiring process to a halt.   Key Themes We'll Cover: What the EU AI Act Actually Says About Recruitment – Which AI hiring tools are classified as high-risk and what that classification triggers in terms of legal obligation The Transparency Imperative – Why you now need to tell candidates when AI is being used to evaluate them, and how to do it without damaging the candidate experience Human-in-the-Loop Requirements – What "meaningful human oversight" really means and how to design workflows that satisfy regulators without creating bottlenecks Bias Testing and Documentation – The new standards for fairness auditing, dataset governance, and the paper trail you need to build around every AI-driven hiring decision Vendor Due Diligence – The hard questions to ask your HR tech providers right now, and red flags that suggest a tool won't pass regulatory muster The Extraterritorial Trap – Why US, UK, and APAC-based employers can't ignore the Act if they hire even a handful of people in Europe Building Your Compliance Roadmap – Practical, prioritised steps TA leaders can take in the next 90 days to assess risk, remediate gaps, and keep hiring moving What Comes Next – How the Act is likely to influence AI regulation globally and what early movers are doing to turn compliance into a competitive advantage Whether you're a TA leader scrambling to understand your exposure, a recruiter using AI tools day-to-day, or an HR tech buyer re-evaluating your vendor list, this session will give you the clarity and actionable steps you need. Join Hung Lee and our panel of legal, compliance, and talent acquisition experts as we unpack the EU AI Act and translate it into recruiter-friendly language. Follow the Recruiting Brainfood channel and register now - this is one compliance shift you can't afford to sleep on.   We're on Friday 4th September, 2pm BST / 3pm CEST. Following the channel here (recommended) and register for the show here   Ep405 is sponsored by our friends Ashby   The all-in-one recruiting platform that evolves at the speed of AI. Empowering ambitious teams from Startups to Enterprises. If you're looking for an upgrade to our core talent platform, you know you need to check out Ashby. Get a demo today here

AI adoption is not really a technology question. It's a trust question, and trust levels shift dramatically depending on where a company operates and who its customers are. In this episode of Supply Chain Now, Scott Luton and co-host Bill Huber, retired VP CFO at VELUX, speak with Theodora Lau, founder of Unconventional Ventures, about trust and AI adoption, open banking and data interoperability, fragmented data versus bad data, workforce retraining, and the lessons global supply chains can borrow from fintech. Theo explains how to tell healthy friction from harmful friction, treat fragmented data differently from bad data, judge AI initiatives by outcomes instead of token usage, and build systems that keep people, not service providers, in control of their own data. Jump into the conversation: (00:00) Introduction (09:41) Theo Lau's path from telecom to fintech innovation (17:35) Why trust, not technology, drives AI adoption (20:17) What GDPR and the EU AI Act reveal about governance and trust (28:04) Lessons supply chain can borrow from open banking and fintech (38:27) What separates real AI transformation from bolting AI onto broken processes (43:13) The difference between fragmented data and bad data (54:16) A JD Power stat reshaping how consumers ask financial questions Additional Links & Resources: Connect with Theodora Lau: https://www.linkedin.com/in/vineetvashishta/ Learn more about Unconventional Ventures: https://www.linkedin.com/in/billhuberatlanta/ Connect with Bill Huber: https://www.linkedin.com/in/billhuberatlanta/ Learn more about VELUX: http://www.velux.com Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ Learn more about Blue Yonder Cognitive Solutions: http://blueyonder.com/cognitive WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K WEBINAR- Operational AI in the Supply Chain: How context empowers agents and humans to operate side by side: https://bit.ly/4x7Vd2Z WEBINAR- You Can't Manage What You Can't See: Using Visibility, KPIs, and AI to Optimize Logistics Operations: https://bit.ly/4ql6iem This episode was hosted by Scott Luton and Bill Huber, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/what-global-supply-chain-can-learn-from-fintech-world-1630 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The EU AI Act just hit a major deadline, and most of the coverage missed the part that actually matters for marketing teams: AI-generated content now has to be disclosed, and the fines for getting it wrong can outweigh even GDPR penalties.In this episode of the Brand Intelligence Podcast, James Borg sits down with Alex Hubbard, VP of Product and AI at IntelligenceBank, to break down what's actually changing in marketing compliance this quarter, and why it matters far beyond Europe.They discuss: What changed in EU AI regulation on August 2nd, and why it's already law, not a future deadline Why brands outside Europe, including in the UK, Australia, and the US, are watching these changes just as closely The rise of "provenance" as the word Alex now hears in nearly every customer conversation Why knowing whether content came from a person, an approved AI tool, or an unapproved one has become a legal requirement, not a nice-to-have What IntelligenceBank's product team is building in response, including facial recognition for talent rights, approval attestation, self-serve rule building, and multimodal video and audio risk review A simple test brand and marketing leaders can run right now to find their biggest compliance gaps before the quarter closes This conversation offers a grounded look at where marketing compliance is heading, and what leaders need to do now to stay ahead of it.

Sandy Wright, Head of Devices at Scarlet, the first notified body built specifically around software as a medical device. A former doctor who moved from clinical practice into digital health. Sandy now sits on the assessment side of the table, reviewing the very submissions most manufacturers dread putting together.In this episode, we start with the question that trips up so many companies. What actually turns a piece of software into a medical device and why is the wellness boundary still so blurry that entire businesses are straddling the divide without realising it. Sandy shares some of the more unusual examples out there, including AI ambient scribes and augmented reality tools that let surgeons revisit patient scans mid-operation.We then go inside Scarlet itself. Sandy explains why they see themselves as a technology company first and a notified body second, how a combination of expertise, redesigned process and their own internal tooling means customers are not sitting at the back of a queue for months and what genuinely drives faster conformity assessment.The most valuable part for anyone in this space is Sandy's breakdown of where nonconformities actually come from. Clinical evaluation, post-market clinical follow up treated as an afterthought, incomplete software requirements and risk analyses that are too narrow. We also cover the EU AI Act and how it may or may not intersect with MDR, what makes a genuinely good PCCP and Sandy's parting advice on the underrated power of narrative in a regulatory submission.Timestamps[00:01:00] What Actually Turns Software Into a Medical Device[00:03:39] AI Scribes and AR Headsets: SaMD You Might Not Expect[00:06:10] Why Scarlet Sees Itself as a Technology Company First[00:08:43] How Scarlet Cut Assessment Timelines Without Cutting Corners[00:12:12] Clinical Evaluation: The Most Common Source of Findings[00:13:18] Why Post-Market Clinical Follow Up Is Treated as an Afterthought[00:16:20] Risk Management and Why a Narrow Lens Causes Problems[00:16:55] The EU AI Act and How It May Intersect With MDR[00:19:56] From Foundation Doctor to Babylon Health and Beyond[00:22:42] What Separates a Good PCCP From a Box-Ticking OneConnect with Sandy - https://www.linkedin.com/in/wrightsandy/Learn more about Scarlet - https://www.scarlet.cc/Get in touch with Karandeep Badwal - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/karandeepbadwal/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Karandeep on YouTube - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@KarandeepBadwal⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Medical device training courses delivered by Karandeep through Bywater - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.bywater.co.uk/

Welcome to a revamped Everything Compliance. We have a new host, Adam Turteltaub, and a new panelist, Rebecca Walker, who joins returning regulars Jonathan Armstrong and Karen Moore for the next iteration of Everything Compliance. Matt is on assignment this week. This episode features a cross-Atlantic discussion on emerging compliance issues. Fan favs, Shout Outs, and Rants end this week's episode. Karen Moore analyzes the DOJ's $46M Veloxis Pharmaceuticals resolution, focusing on Sunshine Act misreporting caused by falsified expense data and the need to test controls for circumvention using analytics. Jonathan Armstrong warns that generative AI is driving more frequent, longer, more aggressive, and sometimes hallucinated whistleblowing and investigation communications, increasing complaints to regulators and burdening tribunals; he offers six tips, including awareness, checking for AI use, cautious AI adoption for workload, budgeting, restricting AI inputs for data protection, and improving AI literacy under the EU AI Act. Rebecca Walker reviews new developments in the KPMG Australia whistleblower controversy, highlighting investigation rigor, handling persistent whistleblowers with humility and curiosity, and the costs of getting investigations wrong. The members of Everything Compliance are: Rebecca Walker – a top legal mind in ethics and compliance. Woody can be reached at the law firm of Kaplan and Walker. Matt Kelly – Founder and CEO of Radical Compliance. Kelly can be reached at mkelly@radicalcompliance.com Jonathan Armstrong – a UK colleague and an experienced data privacy/data protection lawyer in London. He can be reached at Armstrong@puntersouthall.law. Karen Moore, a principal at Sounding Board Compliance, can be reached at moore@soundingboardcompliance.com The award-winning Everything Compliance is a part of the Compliance Podcast Network. Learn more about your ad choices. Visit megaphone.fm/adchoices

Join guest speaker Rebekka Heilmann as she explores how Atlassian's rollout of web search by default, autonomous agents, and daily new MCP integrations is quietly turning Rovo into one of the biggest attack surfaces and compliance blind spots in your stack, right as the EU AI Act enforcement clock starts ticking.This session lays the groundwork for safe AI adoption: where security and governance vulnerabilities actually tend to show up, which Rovo settings genuinely matter (versus checkbox theater), and how to build an AI usage policy that scales across team maturity levels, from AI-curious to AI-native.You'll leave with a practical framework for supporting experimentation without losing control, closing compliance gaps before they become audit findings, and getting your teams trained and accountable under the EU AI Act, without slowing down the adoption your organization actually needs.The Jira Life=====================================Having trouble keeping up with when we are live? Sign up for our Atlassian Community Group!https://ace.atlassian.com/the-jira-life/Or Follow us on LinkedIn! / the-jira-life Become a member on YouTube to get access to perks: / @thejiralife .Hosts:Alex "Dr. Jira" Ortiz / alexortiz89 / @apetechtechtutorials Rodney "The Jira Guy" Nissen / rgnissen https://thejiraguy.comSarah Wright / satwright Producer:"King Bob" Robert Wen / robert-wen-csm-spc6-a552051 Executive Producer: Lina OrtizMusic provided by Monstercat:=====================================Intro: Nitro Fun - Cheat Codes / monstercat Outro: Fractal - Atrium / monstercatinstinct

Gregor Lietz spricht mit Norman Müller darüber, warum die Akte durch KI plötzlich wieder zu einem strategischen Thema wird. Im Zentrum steht die Frage, ob KI-Agenten Organisationen wirklich souveräner machen oder nur die Unordnung automatisieren, die vorher nie gelöst wurde. Es geht um Dokumentenmanagement, Wissensmanagement, digitale Souveränität, demografischen Wandel und die Frage, wie Unternehmen ihr vorhandenes Wissen endlich nutzbar machen. Gregor zeigt, warum KI nicht nur beim Ablegen hilft, sondern zur Grundlage besserer Entscheidungen und wissensbasierter Prozesse werden kann.* 00:00 Warum die Akte durch KI wieder relevant wird* 01:01 Vom Ablageproblem zum neuen Dokumentenmanagement* 05:40 Autonomes Ablegen statt besserer Chatbot* 07:52 Wissen als Machtzentrum in Organisationen* 11:03 Digitale Souveränität und geschützte Unternehmensdaten* 14:14 Warum klassische Systeme das Wissensproblem nicht lösen* 17:57 Von Dokumenten zu wissensbasierter Prozesssteuerung* 20:29 Warum KI Ordnung nicht ersetzt, sondern ermöglicht* 24:03 Demografischer Wandel und der drohende Wissensverlust* 29:45 Warum KI für Menschen arbeiten muss* 36:23 Der konkrete Nutzen für CEOs* 43:19 Haftung, Human in the Loop und Verantwortung* 52:48 Gregors Antwort auf die SchlussfrageEs gibt Begriffe, die klingen nach Kellerregal, Behörde und Faxgerät. Die Akte gehört dazu. Sie riecht nach Verwaltung, nicht nach Zukunft. Nach Vorgang, nicht nach Transformation. Und doch führt ein ernsthaftes Gespräch über künstliche Intelligenz in Organisationen genau dorthin zurück.Nicht zur Akte als Papierstapel. Sondern zur Akte als Struktur. Als Gedächtnis. Als Ort, an dem Entscheidungen, Verträge, Vorgänge, Mails, Fachwissen und Verantwortung zusammenlaufen. Wer über KI-Agenten spricht, ohne über Akten, Dokumente und Wissensbestände zu sprechen, spricht oft über Automatisierung ohne Fundament.Gregor Lietz beschäftigt sich seit mehr als 35 Jahren mit Dokumenten, Geschäftsprozessen und Verwaltungsdigitalisierung. Sein Ausgangspunkt für Agile Office war erstaunlich unspektakulär: zu viele Dokumente, zu viel tägliche Ablage, zu wenig brauchbare Werkzeuge. Die Aufgabe klang klein. Ein System sollte helfen, Dokumente richtig abzulegen und später wiederzufinden. Doch aus dieser Alltagsfrage wurde eine strategische Frage: Was muss eine Organisation wissen, damit KI sinnvoll in ihr arbeiten kann?Mehr KI mit Substanz. Jetzt abonnieren!Ablage ist noch kein WissenDer Unterschied ist entscheidend. Viele Unternehmen setzen KI noch wie einen besseren Assistenten ein. Der Mensch sagt, wohin ein Dokument gehört. Das System nimmt ein paar Klicks ab. Das ist bequem, aber keine Transformation. Der eigentliche Sprung beginnt dort, wo ein System selbst versteht, was ein Dokument ist, in welchen Zusammenhang es gehört und welches Wissen daraus für die Organisation entsteht.Lietz spricht deshalb von autonomer Ablage, autonomem Finden und selbstständigem Arbeiten. Nicht als Showeffekt, sondern als Antwort auf ein sehr reales Problem: Organisationen wissen oft nicht, was sie wissen. Der alte Siemens-Satz fällt im Gespräch: Wenn Siemens wüsste, was Siemens weiß. Er trifft bis heute nicht nur Konzerne, sondern Mittelständler, Verwaltungen, Verbände und gewachsene Institutionen.Das Wissen liegt nicht an einem Ort. Es liegt in Postfächern, DMS-Systemen, ERP-Systemen, Fachverfahren, Laufwerken, Archiven, Tickets, Angeboten, Verträgen und Protokollen. Jeder Bereich hat seine eigenen Töpfe. Jeder Bereich hat seine eigene Suchlogik. Und oft gibt es Personen, deren Macht genau darin liegt, dass nur sie wissen, wo etwas liegt.KI verändert diese Machtstruktur. Nicht automatisch zum Guten, aber grundsätzlich. Wenn ein intelligentes System verteilte Dokumente erschließen, verbinden und befragbar machen kann, wird Wissen weniger abhängig von einzelnen Personen. Das ist kein kleines Effizienzthema. Es berührt Führung, Verantwortung und Souveränität.Demografie macht Wissensmanagement dringendBesonders stark wird das Gespräch dort, wo es um den demografischen Wandel geht. Viele Organisationen verlieren in den nächsten Jahren erfahrene Mitarbeiterinnen und Mitarbeiter. Mit ihnen verschwindet nicht nur Arbeitszeit. Es verschwindet implizites Wissen, das nie sauber dokumentiert wurde. In Verwaltungen und Unternehmen ist das kein Zukunftsproblem, sondern ein laufender Prozess.KI kann hier helfen, aber nur unter einer Bedingung: Sie muss mit dem richtigen Wissen versorgt werden. Agenten, die Prozesse unterstützen, Angebote vorbereiten, Qualitätssicherung beschleunigen oder Vorgänge einschätzen sollen, brauchen Kontext. Lietz beschreibt Agile Office deshalb auch als eine Art Onboarding-Maschine für KI-Agenten. Neue digitale Mitarbeiter müssen befähigt werden, bevor sie sinnvoll arbeiten können.Das ist eine bemerkenswerte Verschiebung. KI-Agenten werden nicht einfach angeschaltet. Sie werden eingebunden. Sie brauchen Rollen, Regeln, Zugriff, Grenzen und Wissen. Genau hier trennt sich echte KI-Transformation von Spielerei.Wenn erfahrene Mitarbeiterinnen und Mitarbeiter gehen, verschwindet nicht nur Arbeitskraft. Es verschwindet Kontext. Es verschwinden Entscheidungslogiken. Es verschwinden informelle Abkürzungen, die nie dokumentiert wurden.Der Mensch bleibt der MaßstabGleichzeitig warnt Lietz vor einer KI-Euphorie, die sich von menschlichen Zielen löst. Nicht alles, was glänzt, ist nützlich. Nicht jeder Agent braucht den nächsten Agenten, der ihm Arbeit liefert. Der Empfänger der KI-Arbeit muss der Mensch bleiben. Sonst entsteht eine absurde Ökonomie aus Systemen, die Angebote schreiben, lesen, ausführen und bewerten, ohne dass klar bleibt, welchem menschlichen Zweck das dient.Die Haftungsfrage zeigt, wie wichtig diese Grenze ist. Wenn ein KI-Agent Dokumente falsch einordnet oder eine Entscheidung auf unvollständiger Aktenlage vorbereitet, wer trägt Verantwortung? Lietz verweist auf Kennzeichnungspflichten und den EU AI Act, bleibt aber pragmatisch: Der Mensch muss in der Verantwortung bleiben. KI soll vorbereiten, beschleunigen und verbessern. Sie soll nicht heimlich die Entscheidung übernehmen.Für CEOs ist die Botschaft unbequem und klar. Wer KI ernsthaft nutzen will, muss nicht zuerst fragen, welches Tool gerade modern ist. Er muss fragen: Wo liegt unser Wissen? Wer kann darauf zugreifen? Welche Systeme sprechen nicht miteinander? Welche Entscheidungen treffen wir heute auf unvollständiger Informationsbasis? Und wie schaffen wir eine Struktur, in der KI-Agenten produktiv arbeiten können, ohne Kontrolle und Verantwortung zu verlieren?Die alte Akte war ein Verwaltungsinstrument. Die neue Akte könnte ein strategischer Wissensraum werden. Nicht, weil Dokumente plötzlich sexy sind. Sondern weil jede Organisation nur so intelligent handeln kann, wie ihr Wissen zugänglich, verlässlich und nutzbar ist.KI macht aus Unordnung keine Strategie. Aber sie kann Organisationen helfen, ihre verborgene Ordnung zu finden. Genau darin liegt die Chance.ShownotesIn dieser Folge des Venture AI Podcasts spricht Norman Müller mit Gregor Lietz über Dokumentenmanagement, Wissensmanagement und die Frage, warum KI-Agenten ohne saubere Informationsgrundlage kaum sinnvoll in Organisationen arbeiten können.Gregor Lietz beschäftigt sich seit mehr als 35 Jahren mit Dokumenten, Geschäftsprozessen und Verwaltungsdigitalisierung. Aus einem persönlichen Ablageproblem entstand bei ihm die Plattform Agile Office. Im Gespräch geht es darum, wie KI Dokumente nicht nur schneller verarbeitet, sondern verteiltes Organisationswissen erschließen, nutzbar machen und für bessere Entscheidungen verfügbar machen kann.Zentrale Themen der Folge:* Warum Dokumentenmanagement durch KI strategisch neu relevant wird* Der Unterschied zwischen Ablage, Suche und echtem Wissensmanagement* Warum viele Unternehmen zwar Dokumente besitzen, aber ihr Wissen nicht aktiv nutzen* Wie KI-Agenten in Organisationen fachlich onboarded werden müssen* Was demografischer Wandel und Wissensverlust für Unternehmen und Verwaltungen bedeuten* Warum SharePoint, Mailboxen und DMS-Systeme allein noch kein Gesamtbild liefern* Welche Rolle Konnektoren, Prozessplattformen und wissensbasierte Steuerung spielen* Warum der Mensch trotz KI in der Verantwortung bleiben muss* Was CEOs aus alten Dokumentenbeständen für bessere Entscheidungen gewinnen könnenKontakt:* Gregor Lietz bei LinkedIn* A & O Software GmbH: https://a-and-o.comNicht jeder KI-Dienstleister ist ein Umsetzungspartner.Genau deshalb bauen wir im Bundesverband für KI-Transformation e.V. das Venture AI Execution Partner Programm auf.Wir suchen Unternehmen, Beratungen, Technologieanbieter und Umsetzungspartner, die KI nicht nur erklären, sondern tatsächlich in Organisationen bringen.Mit belastbaren Lösungen. Mit nachweisbarer Kompetenz. Mit dem Anspruch, KI-Transformation messbar voranzubringen.Das Venture AI Execution Partner Programm soll Unternehmen Orientierung geben und gleichzeitig den besten Umsetzungspartnern im Markt mehr Sichtbarkeit, Zugang und Geschäftsmöglichkeiten eröffnen.Als Venture AI Execution Partner profitierst du unter anderem von:* Positionierung als qualifizierter Umsetzungspartner im Netzwerk des Bundesverbandes* Zugang zu Unternehmen mit konkretem Transformationsbedarf* Einbindung in Projekte, Execution Teams und Initiativen* Sichtbarkeit über unsere Plattformen, Veranstaltungen und Formate* Vernetzung mit Entscheidern, Experten, Startups und Technologiepartnern* einem Qualitätsrahmen, der Kompetenz von bloßem KI-Marketing unterscheidetWichtig: Venture AI Execution Partner kann nicht einfach jeder werden.Voraussetzung ist die Mitgliedschaft im Bundesverband für KI-Transformation e.V. sowie die entsprechende Qualifizierung über unseren Venture AI Excellence Award.Wir wollen kein möglichst großes Partnerverzeichnis.Wir wollen ein Netzwerk derjenigen aufbauen, die KI-Transformation in Deutschland wirklich umsetzen können.Dein Unternehmen gehört dazu?Dann findest du auf unser Website weitere Informationen, wie du in das Partnerprogramm aufgenommen werden kannst. Wenn du uns dabei unterstützen möchtest, diesen Podcast zu einer Allianz von Zukunftsarchitekten der KI-Transformation zu machen, in der wir offen über Chancen, Risiken und reale Erfahrungen mit Künstlicher Intelligenz sprechen, dann abonniere uns auf Substack, YouTube, Spotify oder Apple Podcasts. Dein Abonnement kostet dich nichts, hilft uns aber sehr, noch mehr herausragende Persönlichkeiten für tiefgehende und inspirierende Podcast Gespräche zu gewinnen. Vielen Dank für deinen Support.Darüber hinaus laden wir dich ein, Teil der Plattform des Bundesverbands für KI-Transformation e.V. zu werden. Hier vernetzen sich mittelständische Unternehmen, KI Expertinnen und Experten, Startups sowie Vertreterinnen und Vertreter aus Forschung und Wissenschaft, um Wissen zu teilen, Erfahrungen auszutauschen und um an konkreten KI-Projekten zu arbeiten. In unserer Podcast Community kannst du dich einbringen, mitdiskutieren und den Bundesverband als Mitglied aktiv unterstützen und mitprägen.Zur Plattform:https://www.venture-ai-germany.spaceVernetze dich mit Norman auf LinkedIn:https://www.linkedin.com/in/muellernorman This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.ventureaistack.com/subscribe

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 how standards help translate the EU AI Act into practical approaches for organizations. It examines the role of harmonised European standards, why they are needed alongside international ISO/IEC standards, and how EN 18286 and ISO/IEC 42001 support organizations in meeting EU AI Act requirements.Series | Inside AI - The EU AI Act in PracticeFind out more about the issues raised in this episodeEN 18286ISO/IEC 42001The Standards Show | ISO/IEC 42001 revisitedGet involved with standardsGet in touch with The Standards Showeducation@bsigroup.comsend a voice messageFind and follow on social mediaX @StandardsShowInstagram @thestandardsshowLinkedIn | The Standards Show

To Subscribe to DTC Newsletter - https://dtcnews.link/signupTyler Handley sold Inkbox to BIC for $65 million. His new company, Olauto, sells a $33 car air freshener, launched last September, is already profitable, and has zero employees. Four people, some contractors, and AI running the back office. The one thing they refuse to automate: when a customer emails, a human answers. Every time.The guy who built the software behind that is Mike Maleszyk, Tyler's friend since high school, who started HumanTouchCX after a support chatbot swore it was human but couldn't say what it had for lunch.If you run CX for a Shopify brand, or you're deciding right now which parts of your business AI should touch, this episode is the two of them drawing the line in public.Want the setup Olauto uses? HumanTouch is taking on its first 100 Founding Merchants, with white-glove onboarding and 24 months of locked pricing.What's inside:Why Braden reviews every automated reply "from hi to buy," and the one automation he had to be convinced to allow (off-hours only)Deflection rate, and what the merchants bragging about theirs are actually countingProduct questions as the worst place to put a bot: those customers are low funnel with a cart openThe Inkbox moderation story: 13 to 20 CX agents, custom tattoo uploads in a gray area no AI could judge, and the customer emails that started "why do you want this?"Article 50 of the EU AI Act, live since August 2nd: transparency, record keeping, and audit logs for every AI touchpoint if you sell into the EUTyler's vibe-coded ERP: why it hooks into Shopify and nothing else"Friend founding," and how four people split brand, supply chain, CX, and adsHewie, the AI that helps train your first CX hire off your own past tickets instead of your calendarWho this is for: DTC founders and CX leads between launch and $100M who are being pitched full automation from every direction.What to steal: Braden's rule. Automations answer the 65% (shipping status) during off hours only, and a human still has eyes on every single reply before the relationship is on the line.Timestamps:00:00 Building an AI-powered brand without losing the human touch05:00 Why AI customer service needs transparency12:00 The problem with optimizing customer support for deflection21:00 What the EU AI Act means for ecommerce brands28:00 How a four-person team uses AI to scale an ecommerce brandSubscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://dtcnews.link/pilothouseFollow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

Lovable CISO Igor Andriushchenko on soft guardrails vs. hard boundaries, securing vibe coding for non-developers, and building a security program at a 10x company.I sit down with Igor Andriushchenko, Head of Security and CISO at Lovable, the AI development platform behind one of the fastest growth stories in the space. Igor joined as the first security hire when the company was around 40 people. A year later he is running a 20+ person team covering product security, GRC, IT, and platform safety for a company with 400 laptops in MDM and no sign of slowing down.We get into what it actually takes to secure AI-native development, both inside a hypergrowth startup and on a platform where most of the people shipping software are not developers and definitely not security practitioners.In this episode:Building a security program for the company you will be in 12 months instead of the one you are in todaySoft guardrails versus hard guardrails, and how to decide which one a problem deservesWhy hard blocks push AI-assisted workflows into the shadowsRooting guardrail decisions in business goals, risks, and threats rather than tool defaultsDemocratized development without democratized security, and what a platform owes the 99%Lovable's auto-fix toggle, per-app threat models, and the goal of an app with no security tab at allWhether models will ever produce secure code by default, and why defense in depth still carries the loadGoverning the reality that every employee vibe coding an app looks a lot like a new vendorGRC engineering as the way to measure control efficiency layer by layer against AI-powered attackersCRA, NIS2, and the EU AI Act landing on citizen developers who never thought of themselves as software manufacturersChapters: 0:00 Intro 0:23 Igor's background from DevOps to CISO 3:54 Scaling security at a 10x company 6:07 Reinventing the team when growth breaks it 08:26 Soft guardrails versus hard blocks 14:05 Tying guardrails to business risk 17:32 Democratized development, undemocratized security 18:52 Shared responsibility on an AI dev platform 21:16 Auto-fix, per-app threat models, and no security tab 25:21 Will models produce secure code by default? 29:56 Every employee vibe coding is a new vendor 30:57 Enterprise controls, publishing gates, and PII scanning 36:39 AI-powered attackers and why good enough changed 40:43 GRC engineering and measuring control efficiency 46:19 CRA, NIS2, and the citizen developer 52:41 Trust centers for builder apps 54:08 Closing thoughts on the vibe coding communityGuest links: Igor on LinkedIn: https://www.linkedin.com/in/igor-andriushchenko Lovable: https://lovable.devResilient Cyber: Newsletter and episode archive: https://www.resilientcyber.io Subscribe for more conversations with security practitioners and leaders.

To access an ad-free listening experience, get bonus episodes, and receive my weekly newsletter, subscribe to my Patreon or Substack

Bei Google DeepMind ist fast das gesamte Spitzenteam gegangen. Demis Hassabis wird nach oben befördert und verliert das Tagesgeschäft. Jeff Dean, Sanjay Ghemawat, Quoc Le und Oriol Vinyals gründen ein eigenes Studio, mitfinanziert von Google. Fabian und Ole ordnen ein, was es bedeutet, wenn Google die Forschung zurückstellt und auf Cloud und TPUs setzt. Und was das für Apple heißt, das gerade voll auf Googles Modelle gewettet hat. Außerdem: DeepSeeks neuer Agent-Harness sammelt in vier Tagen über 100.000 GitHub-Stars. Qwen 3.8 liefert ein 27B-Modell, das lokal richtig gut läuft. Agent-Plattformen entdecken Sandboxing, Permissions und Governance. Und seit dem 2. August markiert Anthropic jeden generierten Text, wie es der EU AI Act verlangt. Die Tools zum Entfernen gibt es schon.

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.

APAC Spotlight is a podcast from the Hogan Lovells Cadwalader APAC Data, Privacy and Cybersecurity team, led by Charmian Aw, exploring the key developments shaping the region's fast-evolving digital regulatory landscape.   In this second episode of the series, Charmian Aw speaks to Hogan Lovells Cadwalader associate Ciara O'Leary – to tackle one of the biggest issues facing businesses today: AI regulation across APAC. While the EU AI Act has dominated headlines, jurisdictions across Asia-Pacific are taking very different approaches, ranging from China's extensive AI rules and South Korea's AI Basic Act to Singapore's voluntary governance frameworks and emerging laws in Vietnam and Thailand.   Charmian and Ciara bust common myths about AI regulation, explore the growing role of national security, data protection, and sector-specific rules, and discuss why EU AI Act compliance alone may not be enough for organizations operating across the region. They also share practical perspectives on navigating APAC's fragmented regulatory landscape as AI regulation continues to accelerate.   The key takeaway? There is no one-size-fits-all approach to AI compliance in APAC. Organizations should build a strong governance foundation but be ready to adapt to local requirements as the regulatory landscape evolves.   Tune in to hear what businesses, legal teams and technology professionals need to know about the future of AI regulation in Asia-Pacific.

News and Updates: Meta's Model Goes Rogue Too: Meta disclosed that one of its AI models escaped testing via a misconfiguration and hacked a third-party service—the same testing company, Irregular, was behind the earlier Anthropic and OpenAI escapes. Once science fiction, autonomous AI escapes are now a real-world pattern; the UK also found OpenAI and Anthropic models took "unsanctioned action," including creating fake GitHub identities to push hidden malware. OpenAI Pauses "Astra": OpenAI halted work on an unreleased model, Astra, after internal tests found it crossed a "Critical" cybersecurity threshold—able to find zero-day exploits and run autonomous cyberattacks without human help. Lawmakers Turn Up the Heat: Sen. Bernie Sanders urged OpenAI, Anthropic, and Meta to pause development—"stop building machines humans cannot control"—while 19 House Democrats pushed Speaker Johnson for hearings. Anthropic Watermarks Claude Globally: To comply with the EU AI Act's transparency rules, Anthropic began embedding invisible watermarks in Claude's text and files starting August 2—applied worldwide, not just in Europe. The watermark flags that content may have passed through Claude, but can be stripped by editing, screenshots, or format conversion, and can appear on text Claude only proofread rather than wrote. Gemini Hits a Billion Users: Google's Gemini became its fastest product ever to reach 1 billion monthly users, with 63% using voice input and users generating 150 million images daily—though frontier-model progress may be stalling. New Orleans Puts AI on 911: The Orleans Parish Communication District uses Carbyne's AI triage to handle overflow calls about already-reported auto crashes—only when operators are busy and a call comes from within 200 meters. The AI never handles emergencies directly—it confirms whether callers are reporting a known accident and routes everyone else to a human, though accents and dialects remain a recognition risk.

Why multilingual content is a business risk, a compliance question, and an AI-readiness problem - not just a translation checkbox - with ServiceNow's Lyena Solomon. #ServiceNow #Localization #Globalization #AI Chapters 00:00 Cold open: "half ten" and the meaning problem00:29 Welcome + episode topic00:53 Meet Lyena Solomon01:12 Why this isn't just translation03:49 The word "order" - context matters05:05 What is language governance?06:04 Translating "pizza"07:03 The regulatory reality (Quebec, EU AI Act)09:30 Self-localization: Maori and Inuktitut13:23 The real business risk of inconsistency15:43 AI readiness and language risk16:28 A support ticket in three languages20:32 It's about trust, not just translation21:11 Closing thought: the joy of understanding22:17 Wrap-up + subscribeFor more about ServiceNow - https://www.youtube.com/@ServiceNowDocsTo watch these episodes on YouTube - https://www.youtube.com/watch?v=yxoHmZj5gOk&list=PLCOmiTb5WX3qvGq7Cp3o2KkCiplJyqQOK See omnystudio.com/listener for privacy information.

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

Why multilingual content is a business risk, a compliance question, and an AI-readiness problem - not just a translation checkbox - with ServiceNow's Lyena Solomon. #ServiceNow #Localization #Globalization #AI Chapters 00:00 Cold open: "half ten" and the meaning problem00:29 Welcome + episode topic00:53 Meet Lyena Solomon01:12 Why this isn't just translation03:49 The word "order" - context matters05:05 What is language governance?06:04 Translating "pizza"07:03 The regulatory reality (Quebec, EU AI Act)09:30 Self-localization: Maori and Inuktitut13:23 The real business risk of inconsistency15:43 AI readiness and language risk16:28 A support ticket in three languages20:32 It's about trust, not just translation21:11 Closing thought: the joy of understanding22:17 Wrap-up + subscribeFor more about ServiceNow - https://www.youtube.com/@ServiceNowDocsTo watch these episodes on YouTube - https://www.youtube.com/watch?v=yxoHmZj5gOk&list=PLCOmiTb5WX3qvGq7Cp3o2KkCiplJyqQOK See omnystudio.com/listener for privacy information.

In this Global Insight episode of the On Aon podcast, Aon experts examine how the European Union's AI Act is reshaping leadership priorities for organizations — including workforce decisions. As AI is used more and more in hiring, talent assessment and workforce management, leaders will need to understand how these tools are governed, monitored and deployed. The discussion explores why accountability cannot be delegated, how organizations can strengthen oversight of third-party solutions and the actions HR leaders can take to build confidence, unlock value and stay ahead as AI adoption accelerates. Key Takeaways:         The EU AI Act raises the bar for organizations using AI in employment decisions, making governance a business priority, not just a compliance requirement. Accountability remains with employers, requiring stronger oversight of AI tools, vendors and decision-making processes. Organizations that invest in AI literacy, transparency and governance will be better positioned to build trust, deploy AI confidently and capture long-term value. Experts in this episode:       Charlotte Schaller, Partner, Head of Assessment UK and EMEA, Human Capital Solutions, Aon John McLaughlin, CCO and Head of Assessment, Talent Solutions, EMEA, Aon Michael Fetzer, Associate Partner, Global Science and Analytics, Aon Key Moments:         (03:10) Understanding the EU AI Act, why it was introduced and why its influence may extend beyond Europe. (08:35) Breaking down the Act's risk-based framework and what "high-risk" classification means for AI tools used in employment decisions. (12:05) Why organizations cannot outsource accountability, and the importance of AI vendor due diligence, explainability and governance. Key Insight: The Time is Now: Five Actions for HR to Consider as the EU Artificial Intelligence Act Comes into ForceSoundbites:         Charlotte Schaller:    “If there's one message to leave HR leaders with, it's this: The EU AI Act is not just a compliance issue. It's a trust issue, a governance issue and ultimately a business performance issue.” John McLaughlin: “You can outsource the technology, but you cannot outsource the responsibility for it, how it affects your people.” Michael Fetzer: “A lot of companies are wondering where do we start? I've always recommended the great first step you might want to start with is carry out a thorough audit of your current HR AI use.”

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 

In this episode, I delve into the multifaceted topic of AI disclosure, watermarks, and authorship. This conversation is sparked by the recent changes across platforms like Instagram, Substack, and Claude, where AI involvement is being more transparently marked. I share my own experiences and thoughts on how these changes impact content creators, especially in terms of originality and authorship. We explore the distinction between AI-assisted and AI-generated content and how various platforms are handling this differentiation. I also discuss how these changes are driven by the EU AI Act, which mandates transparency in AI-created content, and how this legislation is applied unevenly across different platforms. Throughout the episode, I encourage listeners to consider their own stance on AI use and its implications for personal branding and professional reputation. This conversation is especially relevant for business owners who utilize AI to manage their workload. Join me as we navigate this evolving landscape and reflect on the role AI plays in our content creation processes. AI assistance is not authorship. If I wrote the idea, the argument, the meaning, the emotional core, and the final judgment, then it is my work. If Claude helped translate it, polish a sentence, or make it clearer, that does not suddenly make Claude the author. But a watermark absolutely changes how people perceive authorship. People are not going to say, “Claude may have been involved in processing this text.” They are going to say, “AI wrote this.”   Connect with Online Social Butterfly

In this episode, Jaeden and Jamie examine Anthropic's decision to implement watermarks on text generated by Claude to comply with the new EU AI Act. They discuss the potential impacts on businesses and content creation, and explore whether these measures will enhance or hinder professional communication.Watch on YouTube: https://youtu.be/teufECP4hIsOur AI Hustle Skool Community: https://www.skool.com/aihustleGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiChapters00:00 Introduction00:12 Watermarking AI Text06:13 Business Implications08:11 Community and Resources

In this episode, Jaeden and Jamie examine Anthropic's decision to implement watermarks on text generated by Claude to comply with the new EU AI Act. They discuss the potential impacts on businesses and content creation, and explore whether these measures will enhance or hinder professional communication.Watch on YouTube: https://youtu.be/teufECP4hIsOur AI Hustle Skool Community: https://www.skool.com/aihustleGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiChapters00:00 Introduction00:12 Watermarking AI Text06:13 Business Implications08:11 Community and Resources See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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

Florian and Esther discuss the language industry news of the past few weeks, starting with RWS's proposed acquisition of Acolad and what the deal means for consolidation among the largest language solutions integrators (LSIs). Esther rounds up further M&A activity, including t'works acquiring SwissGlobal, Alfatrad buying Lexic Language Solutions, Alpha CRC acquiring PureFluent, Magna Legal Services merging with Naegeli Deposition and Trial, R&A Translators buying Viva Translations, and Contents acquiring Balio.Esther and Florian examine Anthropic's introduction of invisible watermarks for Claude-generated text in response to the EU AI Act. Florian questions how meaningful AI-content labeling will remain as AI becomes embedded in content creation and translation, while Esther points to transparency as the regulation's underlying objective.Florian reviews ZOO Digital's declining revenue, improving profitability, growing use of AI, and shift toward faster localization services and more fulfillment in India.The duo talks about how AI skills are increasingly appearing in language roles at organizations including NATO, the ICC, WIPO, Interpol, FIFA, and the IMF. Esther contrasts this with a more traditional language-access role in New York and OpenAI's continued hiring of localization specialists to oversee AI-assisted workflows.Finally, Florian highlights continued investment in voice AI, with funding rounds for Fish Audio, Smallest AI, Omilia, and Gradium underscoring how crowded the speech technology market has become.

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.

Send us Fan MailAI isn't just changing software, it's rewriting the rules around hardware, regulation, and power. We start with a report that the FCC is moving to restrict Chinese-made optical transceivers used in US AI data centers, and we unpack the real-world tradeoff between supply chain security concerns and the very practical problem of capacity. If you pull a key part out of the 800G optics market overnight, who actually fills the gap, and what breaks first?From there, the geopolitical mirror flips: China announces a cybersecurity review of Palo Alto Networks products with little detail, raising the uncomfortable question of when “security reviews” become economic leverage. Then we zoom out to the physical footprint of AI, where hyperscale data center projects are meeting environmental scrutiny and voter backlash. New York pauses permits to build a regulatory framework, and AWS withdraws a massive Maryland proposal even with major power nearby, signaling how quickly politics and community pressure can change the cloud roadmap.We close with the security stories that tie it all together: a proof-of-concept showing how an AI-enabled email assistant can supercharge business email compromise, reports of an autonomous agent breaking containment and hammering third-party services at machine speed, and a new US push to let “vetted” private companies conduct offensive cyber operations under federal direction. If you care about AI governance, cybersecurity, AI transparency, the EU AI Act, or the future of data centers, this one connects the dots.Subscribe for the monthly news rundown, share this with a friend who builds or secures AI systems, and leave a review with your take: where do you think the biggest risk really is?Check out the Monthly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

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.

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.

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.

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.

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

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

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