Podcasts about ai policy

This week, Dave and Ben sit down with N2K's lead analyst Ethan Cook to examine President Trump's recent Executive Order centered on AI. With this order, the Trump administration is looking to increase its oversight of new AI models to better account for potential security vulnerabilities before public releases, marking a key development in the administration's AI policy stance. While this show covers legal topics, and Ben is a lawyer, the views expressed do not constitute legal advice. For official legal advice on any of the topics we cover, please contact your attorney.  Links to today's stories: Trump Signs Executive Order Seeking Oversight of A.I. Models. Get the weekly Caveat Briefing delivered to your inbox. Like what you heard? Be sure to check out and subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Caveat Briefing⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a weekly newsletter available exclusively to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠N2K Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ members on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠N2K CyberWire's⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ website. N2K Pro members receive our Thursday wrap-up covering the latest in privacy, policy, and research news, including incidents, techniques, compliance, trends, and more. This week's Caveat Briefing ⁠⁠⁠examines several recent bills passed by the New York state legislature that look to regulate data centers and data collection practices. Curious about the details? Head over to the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Caveat Briefing⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for the full scoop and additional compelling stories. Got a question you'd like us to answer on our show? You can send your audio file to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠caveat@thecyberwire.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Hope to hear from you. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI regulation in the United States is at an inflection point. A new executive order, emerging legislation, and shifting political dynamics are rapidly reshaping the policy landscape for AI developers and adopters.  In this episode of The Data Chronicles, we examine the administration's latest executive order on AI innovation and security, which introduces a voluntary framework for pre-release review of frontier AI models – an approach some compared to FDA-style oversight. We also explore how it differs from prior safety-focused directives and more aggressive regulatory models abroad.  The discussion highlights what this moment means for companies across the ecosystem, from major tech firms helping shape policy to startups navigating commercialization. At the core is a key tension: policymakers are unusually open to new ideas but the window to influence these frameworks may be narrower than it appears.

AI is making it easier than ever to create content, but it's also making it harder to sound like yourself. The morning show cast and crew discuss what happens when AI starts to become your voice, why authenticity is becoming more valuable in a sea of automated content, and how creators can stay relevant when everyone has access to the same tools. From podcast discovery and video consumption trends to the role of personal experience in building trust, the conversation keeps coming back to one question: what makes your content uniquely yours? In a world where AI can do more than ever, your perspective may be the one thing it can't replicate.Episode Highlights:[01:47] Podcasting by the Numbers[04:48] Audacity 4 Update[06:13] Business Bite: Ad Revenue Trends[09:23] Netflix and Tubi Enter Podcasting[11:54] Why Podcast Discovery Keeps Getting Harder[13:46] Do We Really Need Video?[20:05] Trailers That Convert Listeners[23:46] When to Update Your Podcast Trailer[26:24] Trailer Congruency Tips[27:50] AI Exposed Marketing Work[29:07] Using AI Without Burnout[36:19] AI-Flooded SEO Content[45:29] Disclosure and AI Policy[49:28] Final Takeaways and Next ShowLinks & Resources:Indie Podcasters: A Roadmap to Your First $500:https://www.contentcreatorsaccountant.com/blog/indie-podcasters-under-500/Mike Teaches Audacity: Audacity 4 Traininghttps://www.youtube.com/channel/UCinVymsMw5SfibkbOrdlaXQPodcast Index Podcast Statistics:https://podcastindex.org/apps?appTypes=appFeature Your Podcast on the Podcasting Morning Show:https://PodcastingMorningShow.com/spotlightThe Podcasting Morning Show:⁠⁠www.podcastingmorningshow.com⁠⁠Ways to Watch or Listen:⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcastingmorningshow.com/joinus/Meet the PMS Cast and Crew:⁠⁠https://podcastingmorningshow.com/people⁠⁠Join The Empowered Podcasting Facebook Group:⁠⁠www.facebook.com/groups/empoweredpodcasting⁠⁠⁠Book A Free Call With Marc:https://calendly.com/ironickmedia/freestrategycallApplication To Submit Your Show For Evaluation:⁠⁠⁠⁠⁠https://podcastingmorningshow.com/eval⁠⁠Join us every other Monday at 8 AM ET for the Obsession Worthy Podcasts:⁠⁠⁠http://podcastingmorningshow.com/owp/⁠⁠Join us LIVE every weekday morning at 8 am ET (US) on ⁠Clubhouse⁠: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcastingmorningshow.com/clubhouse⁠⁠Powered by⁠⁠⁠ ⁠iRonickMedia.com⁠⁠⁠⁠ and⁠ ⁠ContentCreatorsAccountant.com⁠⁠Send in your mailbag questions:⁠⁠⁠⁠ https://www.podcastingmorningshow.com/contact/⁠⁠⁠⁠ or ⁠marc@ironickmedia.com⁠Want to be a guest on The Podcasting Morning Show? Send me a message on PodMatch, here:https://podmatch.com/hostdetailpreview/1729879899384520035bad21b

Senator Bernie Sanders recently hosted a panel on "The Existential Threat of AI," featuring Future of Life Institute co-founder Max Tegmark and other x-riskers. Dr. Nathalie Maréchal joins Emily and Alex to unpack this latest stop on Bernie's descent into doomerism. We return to the MST3k model with a rare video artifact!Nathalie Maréchal is a writer, researcher and advocate fighting for democracy and human rights in the age of technofascism. Her latest article, "Tech Policy Is on the Front Line of Fascism vs. Democracy. Pick a Side," is available in Tech Policy Press. She is currently the managing policy director at Northeastern University's Institute for Information, the Internet, and Democracy.References:"LIVE: The Existential Threat of AI and the Need for International Cooperation"Fresh AI Hell:"The AI Pledge for Humanity" petitionRichard Dawkins force-femmes a chatbotAnthropic claims LLMs have "emotion concepts"Palantir wants us all to stop being mean to data centers"Optimizing LLM costs by inventing employees again"Luxury surveillance catCheck out future streams on Twitch. Meanwhile, send us any AI Hell you see.Find our book The AI Con here, and MAIHT3k merch here.Subscribe to our newsletter via Buttondown.Follow us!EmilyBluesky: emilymbender.bsky.socialMastodon: dair-community.social/@EmilyMBenderAlexBluesky: alexhanna.bsky.socialMastodon: dair-community.social/@alexTwitter: @alexhannaMusic by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Ozzy Llinas Goodman.

Are AI agents and LLMs coming for your job? In this episode of the BRAVE Southeast Asia Tech Podcast, Jeremy Au sits down with Ori Sasson to uncover the harsh realities of AI job replacement, the "Hollywoodization" of the workforce, and the explosion of 10x productivity in startups. Discover how employers in Singapore and across Southeast Asia are redesigning roles, navigating "shadow AI", and leveraging government policies to stay competitive. Whether you are a tech founder, venture capitalist, or operator in Singapore, Indonesia, Vietnam, the Philippines, Thailand, or Malaysia, this conversation is your blueprint for surviving and thriving in the new AI economy. We break down the differences between traditional workflow outputs and AI native systems, explore why the product manager is becoming an "LLM wrapper", and discuss what policymakers are doing to bridge the skills gap. Watch, listen or read the full insight at https://www.bravesea.com/blog/ori-sasson-ai-work Get transcripts, startup resources & community discussions at https://www.bravesea.com WhatsApp: https://whatsapp.com/channel/0029VakR55X6BIElUEvkN02e TikTok: https://www.tiktok.com/@jeremyau Instagram: https://www.instagram.com/jeremyauz Twitter X : https://x.com/jeremyau LinkedIn: https://www.linkedin.com/company/bravesea English: Spotify | YouTube | Apple Podcasts Bahasa Indonesia: Spotify | YouTube | Apple Podcasts Chinese: Spotify | YouTube | Apple Podcasts #Singapore #AItech #Podcast #southeastasia #techpodcast 00:00 - The "Hollywoodization" of the Workplace 01:39 - Meet Ori Sasson: The Employer's Perspective on AI 02:22 - Blue Collar vs. White Collar: Which Jobs Are Disappearing? 05:40 - Meta Layoffs, Motivation, and the "10x" Employee 08:50 - Overcoming the AI "Verification Tax" in Coding 11:15 - The "LLM Wrapper": Redesigning the Product Manager Role 15:40 - The "Hollywoodization" of Work Explained 19:05 - "Shadow AI" & Distributing Massive Productivity Gains 24:40 - Automated Side Hustles & The Junior Talent Crisis 29:10 - Y Combinator, AI-Native Law Firms, & Services Disruption 34:15 - Singapore's AI Policy, Budgets, and Global Comparisons 39:10 - A Crazy Idea: Free National AI Subscriptions? 43:50 - Conclusion & Key Takeaways

In dieser Episode spreche ich mit Patrick Wild, Head of Global IT, Balluff.Wir sprechen über folgende Themen:Wie gelingt der Einstieg in generative KI im Unternehmen – von der ersten AI-Policy bis zu konkreten Use Cases?Warum hat Balluff zunächst eine eigene KI-Plattform gebaut und später auf Microsoft 365 Copilot gesetzt?Welche Rolle spielen persönliche KI-Assistenten wie Copilot im Arbeitsalltag von Mitarbeitenden?Wie können Unternehmen KI-Tools flächendeckend einführen, ohne Mitarbeitende zu überfordern?Was ist der Unterschied zwischen No-Code-Agenten, Low-Code-Agenten und Pro-Code-Agenten im Unternehmen?Wie sieht eine sinnvolle KI-Governance aus, wenn Mitarbeitende eigene Agenten bauen können?Warum wird der ROI bei KI-Assistenten bald ähnlich selbstverständlich sein wie bei E-Mail oder Internetzugang?Wie kann Agentic AI Geschäftsprozesse automatisieren und echten Business Impact erzeugen?Welche Chancen bietet KI im IT-Service-Management – vom qualifizierten Ticket bis zum automatischen Neustart eines Servers?Was hat Balluff in zwei Jahren KI-Transformation gelernt – und welche Ansätze wurden wieder verworfen?Erhalte jede Woche aktuelle Strategien in dein E-Mail Postfach: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.stateofprocessautomation.com/⁠⁠Podcast-Moderator: Christoph Pacher⁠LinkedIn⁠Interviewgast: Patrick Wild, Head of Global IT, Balluff⁠LinkedIn

Newt talks with Neil Chilson, Head of AI Policy at the Abundance Institute about the latest AI news. They discuss Anthropic’s IPO and the current AI investment surge. Chilson maintains it is a genuine boom rather than a speculative bubble, driven by massive datacenter and energy buildouts that are already generating substantial revenue. Their conversation turns to Pope Leo’s 42,000-word encyclical on AI. Chilson praises its emphasis on human flourishing but notes its academic skepticism toward technology and markets and observes that it appears only four years into the AI era, long before the full benefits and risks are known. They discuss China as a “fast follower” pursuing “good enough” AI models powered by abundant energy and released as open source, in contrast to U.S. labs’ focus on proprietary frontier models, and Chilson cautions that China may gain economic and military advantages by rapidly integrating AI across its economy and systems even without surpassing U.S. model quality.See omnystudio.com/listener for privacy information.

98% of patients welcome AI in their care — and still want a human in charge. That tension ran through the OECD and Spanish Ministry of Health conference on scaling AI in health (Madrid, late May 2026), and it frames this episode of Faces of Digital Health. Out of 38 OECD countries, only seven have a formal AI strategy and just over a tenth run workforce upskilling programmes — the ambition is outrunning the institutions meant to govern it. Host Tjaša Zajc brings together voices from across the conference to ask what actually has to change: regulation, trust, who gets a seat at the table, and the parts of the agenda nobody is funding. Featuring: - Eric Sutherland — Senior Economist, OECD - Aferdita Bytyqi — Executive Director & Founding Partner, Digital Transformations for Health Lab (DTH-Lab) - Erza Selmani — Research Fellow, DTH-Lab - Valentina Strammiello — Executive Director, European Patients Forum (EPF) - Dr Ricardo Baptista Leite — CEO, HealthAI (the Global Agency for Responsible AI in Health) - Dr Persephone Doupi — Senior Medical Officer, Finnish Institute for Health and Welfare; President, European Federation for Medical Informatics (EFMI) What the conversation covers: - Why trust — not capability — is the binding constraint on health AI adoption - The OECD readiness gap: AI strategies, HTA frameworks and workforce upskilling - How patients really feel about AI: consent forms, transparency, and keeping clinicians central - Why youth health and wellbeing keep getting left out of AI governance frameworks - Five recommendations to make the EU AI Act work for health and competitiveness - Coordinating the EU AI Act, MDR/IVDR and the European Health Data Space - Health technology assessment and reimbursement as the real barriers to scale - AI literacy and prevention: the most underweighted lever in the room Chapters: 0:10 — Welcome: AI in Health & the 2026 OECD Conference in Madrid 0:25 — Key Stats: Only 7 of 38 OECD Countries Have a Formal AI Strategy 2:10 — Eric Sutherland (OECD): We're Not Using Data as Effectively as We Could 3:11 — Afrodita & Erza (DTH Lab): Youth Health Is Missing from AI Governance Frameworks 5:12 — Valentina Stramello (EPF): 98% of Patients Are Positive About AI, But Trust Requires Transparency 7:14 — Dr. Ricardo Baptista Leite (Health AI): 5 Recommendations to Fix EU AI Policy for Health 10:53 — Persephone Doupi (EFMI): We Must Prioritize AI Literacy and Shift Healthcare Toward Prevention —

Raffi Krikorian, the chief technology officer of Mozilla, has spent the past few months building an argument that the central question in AI isn't open versus closed, but owning versus renting—whether AI becomes something we control or something we lease from a handful of companies. A technologist by background with stops at Twitter, Uber, and the Democratic National Committee, he writes about all of this in his newsletter, Owners Not Renters, and in other outlets, most recently in a New York Times op-ed on what he called the "Mythos moment." Justin Hendrix spoke to him about the idea that generosity is the hidden infrastructure of the internet, how to expand access to powerful AI tools rather than closing it down for security's sake, how to overcome misaligned incentives to build a better information environment, how to counter surveillance, and why those concerned with AI governance should spend more time thinking about the protocol and harness layers.

Julia Regier is a policy and research manager at MIT's Stone Center on Inequality and Shaping the Future of Work, where she focuses on workforce and policy impacts. Her path here was anything but straight, from studying philosophy at Wellesley to an MBA at Yale to translating dense economics research for people who don't speak economics. We talk about what the data shows for workers without college degrees (spoiler: it's not great, and it's been getting worse since 1980), why the self-checkout AI surveillance story is a perfect case study in automation gone wrong, and what it would take to redirect AI development toward something that works for workers, not just around them. We also get into the market failure at the heart of how AI is being built, why a handful of people setting the vision for all of us is a problem, and what policy levers could shift things. Julia also makes the moral case, loud and clear, for a living wage, and we're here for it. Chapters 00:00 - Intro - Felicia and Rachel talk local politics, civic assemblies, and more 20:28 - Welcome Julia! Her Nonlinear Path: Philosophy, Recruiting & Landing at MIT 25:00 - Worker Ownership, Co-ops & Why It's Harder Than It Sounds 29:35 - Job Quality for Workers Without College Degrees: What the Data Shows 37:00 - AI Surveillance, Self-Checkout & the Annoyance Factor 43:45 - Taking the Long View: Policy Impacts & the Case for Investing in Children 49:40 - Who's Setting the Vision for AI (and Why That's a Problem) 54:26 - Pro-Worker AI: Policy Levers That Could Actually Change Course 62:00 - Gender, Diversity & Who's Missing from the Research 65:20 - If You Could Change One Thing + Closing Thoughts Visit us at InclusionGeeks.com to stay up to date on all the ways you can make the workplace work for everyone! Check out Inclusion Geeks Academy and InclusionGeeks.com/podcast for the code to get a free mini course.

Safee-Naaz Siddiqi, Professional Support Lawyer in the Knowledge Management practice at Cliffe Dekker Hofmeyr, speaks to Lester Kiewit about the growing legal and compliance risks linked to artificial intelligence tools in the workplace. As more businesses use AI platforms to draft, summarise and analyse sensitive information, questions are being raised about whether confidential or legally privileged material could unintentionally be exposed to third parties, potentially weakening legal protections and creating serious consequences for companies without clear AI policies in place. Good Morning Cape Town with Lester Kiewit is a podcast of the CapeTalk breakfast show. This programme is your authentic Cape Town wake-up call. Good Morning Cape Town with Lester Kiewit is informative, enlightening and accessible. The team’s ability to spot & share relevant and unusual stories make the programme inclusive and thought-provoking. Don’t miss the popular World View feature at 7:45am daily. Listen out for #LesterInYourLounge which is an outside broadcast – from the home of a listener in a different part of Cape Town - on the first Wednesday of every month. This show introduces you to interesting Capetonians as well as their favourite communities, habits, local personalities and neighbourhood news. Thank you for listening to a podcast from Good Morning Cape Town with Lester Kiewit. Listen live on Primedia+ weekdays between 06:00 and 09:00 (SA Time) to Good Morning CapeTalk with Lester Kiewit broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/xGkqLbT or find all the catch-up podcasts here https://buff.ly/f9Eeb7i Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalkSee omnystudio.com/listener for privacy information.

rsync's founder came back, patched real security bugs with AI help, and triggered an open source meltdown. Plus, two more projects reject AI-generated code as the community's newest fault line cracks wide open.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:ConnecTen Internet — Get $35 off your order total with Jupiter35

The Enlightened Family Business Podcast Ep. 161: AI Is Coming Fast — What Family Businesses Should Do Now with Jack Potvin   In this episode of the Enlightened Family Business Podcast, host Chris Yonker is joined by AI product builder Jack Potvin for a fast-moving, practical conversation about artificial intelligence and what privately held and family businesses need to do — right now — to stay competitive. Jack built his AI foundation working on one of the world's first computer vision models for sports before the rise of large language models, and now dedicates his work to helping independent businesses harness this technology before the window closes. Chris and Jack make the case for why family businesses — historically outperformers — are at a critical inflection point: large corporations are pouring tens of billions into AI adoption, and the playing field will not stay level for those who wait. Together they explore what AI actually is, the two core value drivers of efficiency and capability expansion, where to start when your team is at zero, why governance policies matter more than most owners realize, which specific tools deliver immediate value, and what AI genuinely cannot replace — deep domain expertise, broken process diagnosis, and nuanced human judgment. They also dive into real-world case studies from a beverage manufacturer and an insurance agency that have completely transformed their operations through AI, and close with a grounded, practical framework for family business leaders ready to take their first meaningful steps. Episode Chapters ·       0:00   Welcome and Framing the Opportunity ·       1:00   Meet Jack Potvin — From Sports AI to Family Business Adoption ·       4:06   Why Family Businesses Are at a Competitive Inflection Point ·       7:28   What Is AI? Defining LLMs, Efficiency, and Capability Expansion ·       13:18  Should Your Company Have an AI Policy? ·       16:04  Addressing the Fear: Job Loss, Data Privacy, and the Real Risks ·       22:10  Where to Start: Daily Drivers, Existing Tools, and Filling the Gap ·       26:54  Best AI Tools Right Now: Read AI, Whisper Flow, Notion, Gamma ·       30:29  Operational Efficiency, Analytics, and Business Development ·       31:11  Two Real-World Case Studies: Beverage Manufacturer and Insurance Agency ·       35:23  What AI Is Great At — and Where Humans Must Lead ·       40:40  AI for Business Development, Outbound, and CRM Automation ·       45:59  Strategic Planning, Knowledge Bases, and Building Your Company's AI Brain ·       50:20  Q&A and Closing Resources   Websites ·       businessautomation.com ·       chrisyonker.com   About Jack Potvin Jack Ryan Potvin is an entrepreneur and AI strategist focused on helping businesses adopt practical artificial intelligence solutions that improve efficiency, decision-making, and competitive positioning. As the founder of Business Automation, Jack works with companies to integrate AI into everyday business operations — from automating workflows and improving internal knowledge systems to enhancing marketing, sales, and strategic insight. Jack specializes in translating rapidly evolving AI capabilities into practical tools that business leaders can implement today, without requiring large technical teams or massive technology investments. He is particularly passionate about helping family-owned and employee-owned companies adopt AI in ways that strengthen their long-term competitiveness while preserving the leadership values and culture that make these businesses successful.

Today I'm doing something fun and different…Live-writing an AI policy with my friend and colleague, Dr. Kate Henry of Honing In!After listening to the Off the Grid AI series, Kate reached out to ask if I she could hire me to help her write an AI policy. I said no, because I'm not doing 1:1 advising right now… but I proposed that we record a chat about it for the Clubhouse instead!So in this video and audio episode, you get to join me and Kate as we co-write the first draft of her AI policy for her business. Free subscribers can hear our reflections on AI in creative business, and paid subscribers get to come along as we write Kate's AI policy in real time (with a template for you, too!).When you join the Clubhouse at offthegrid.fun/clubhouse, you'll get access to over 50 bonus episodes (and counting), curated tech + creative business newsletters, and more. Plus your own private podcast feed, comments threads, and behind-the-scenes updates on the show.Please join the Clubhouse to support Off the Grid! And find this specific episode here :) RESOURCES + LINKS

At a moment some are calling the “Mythos Moment” for artificial intelligence, the conversation around technology is shifting in real time. In this episode of Tools and Weapons, Brad Smith sits down with former UK Prime Minister Rishi Sunak, now working at the center of global AI policy and innovation, to explore what happens when breakthroughs move faster than the systems built to govern them. The discussion looks at the risks that could define this era, the policy choices shaping global AI development, and what leaders must do now to build trust while enabling innovation. From cyber threats to economic disruption, this conversation examines what it will take to navigate one of the most consequential technology moments in decades. Listen to the full episode and join the conversation about how we shape the future of AI responsibly.

Stephen Grootes speaks to Xhanti Payi, economist and strategist at Makuna about the lessons South Africa should draw from the withdrawal of its national AI policy after it emerged that parts of the document contained AI-generated errors and fabricated sources. The Money Show is a podcast hosted by well-known journalist and radio presenter, Stephen Grootes. He explores the latest economic trends, business developments, investment opportunities, and personal finance strategies. Each episode features engaging conversations with top newsmakers, industry experts, financial advisors, entrepreneurs, and politicians, offering you thought-provoking insights to navigate the ever-changing financial landscape.    Thank you for listening to a podcast from The Money Show Listen live Primedia+ weekdays from 18:00 and 20:00 (SA Time) to The Money Show with Stephen Grootes broadcast on 702 https://buff.ly/gk3y0Kj and CapeTalk https://buff.ly/NnFM3Nk For more from the show, go to https://buff.ly/7QpH0jY or find all the catch-up podcasts here https://buff.ly/PlhvUVe Subscribe to The Money Show Daily Newsletter and the Weekly Business Wrap here https://buff.ly/v5mfetc The Money Show is brought to you by Absa     Follow us on social media   702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/CapeTalk 702 on YouTube: https://www.youtube.com/@radio702   CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/Radio702 CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

Stephen Grootes speaks to Professor Bruce Watson, of UKZN and Waterloo (in Canada), AI Research Founder & Global Advisor, about the government’s decision to appoint an independent panel to redraft South Africa’s AI framework after it was withdrawn due to AI‑generated “hallucinated” references, and what this means for regulation, credibility, and the future of AI governance. In other interviews, Wandile Sihlobo, Agricultural economist talks about South Africa’s agricultural exports jumping 11% in the first quarter of 2026, unpacking how strong global demand and higher commodity prices drove the growth, even as persistent port bottlenecks, particularly at Cape Town, forced costly diversions to other ports and squeezed farmers’ margins. The Money Show is a podcast hosted by well-known journalist and radio presenter, Stephen Grootes. He explores the latest economic trends, business developments, investment opportunities, and personal finance strategies. Each episode features engaging conversations with top newsmakers, industry experts, financial advisors, entrepreneurs, and politicians, offering you thought-provoking insights to navigate the ever-changing financial landscape.    Thank you for listening to a podcast from The Money Show Listen live Primedia+ weekdays from 18:00 and 20:00 (SA Time) to The Money Show with Stephen Grootes broadcast on 702 https://buff.ly/gk3y0Kj and CapeTalk https://buff.ly/NnFM3Nk For more from the show, go to https://buff.ly/7QpH0jY or find all the catch-up podcasts here https://buff.ly/PlhvUVe Subscribe to The Money Show Daily Newsletter and the Weekly Business Wrap here https://buff.ly/v5mfetc The Money Show is brought to you by Absa     Follow us on social media   702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/CapeTalk 702 on YouTube: https://www.youtube.com/@radio702   CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/Radio702 CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

Stephen Grootes speaks to Professor Bruce Watson of UKZN and the University of Waterloo (Canada), AI Research Founder and Global Adviser, about the government’s decision to appoint an independent panel to redraft South Africa’s AI framework after it was withdrawn due to AI‑generated “hallucinated” references, and what this means for regulation, credibility, and the future of AI governance. The Money Show is a podcast hosted by well-known journalist and radio presenter, Stephen Grootes. He explores the latest economic trends, business developments, investment opportunities, and personal finance strategies. Each episode features engaging conversations with top newsmakers, industry experts, financial advisors, entrepreneurs, and politicians, offering you thought-provoking insights to navigate the ever-changing financial landscape.    Thank you for listening to a podcast from The Money Show Listen live Primedia+ weekdays from 18:00 and 20:00 (SA Time) to The Money Show with Stephen Grootes broadcast on 702 https://buff.ly/gk3y0Kj and CapeTalk https://buff.ly/NnFM3Nk For more from the show, go to https://buff.ly/7QpH0jY or find all the catch-up podcasts here https://buff.ly/PlhvUVe Subscribe to The Money Show Daily Newsletter and the Weekly Business Wrap here https://buff.ly/v5mfetc The Money Show is brought to you by Absa     Follow us on social media   702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/CapeTalk 702 on YouTube: https://www.youtube.com/@radio702   CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/Radio702 CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

In this episode, Katherine Forrest and Scott Caravello examine a busy stretch of AI policy-making activity, from data center moratorium efforts in Maine and other states to an overhaul of Colorado's landmark AI law and new federal agreements for voluntary frontier model testing. They break down what these developments mean for the ongoing national conversation around AI infrastructure and regulation. ## Learn More About Paul, Weiss's Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

Kevin Frazier explains the shift from "doomer" vs. "accelerationist" labels to more nuanced AI policy. He highlights the cybersecurity risks posed by advanced models like Mythos and the vulnerability of national infrastructure. (15/16)1980 IBM 370

Today's article is from the New Hampshire Bulletin. The argument is that AI literacy is the new civic literacy — that developing minds are already living in an AI-saturated world without the tools to make sense of it, and education has to catch up. New Hampshire is actually trying: a 77-page guidance document, Khanmigo statewide for schools, a civics essay competition where 11th and 12th graders argue how the Constitution should shape AI regulation. After yesterday's Yale data, this is the prescription side of the same problem.New Hampshire is one state, 175,000 students. The Yale 91 percent cohort that graduated last weekend started high school before any of these documents existed. Institutional response is slower than student adoption by about a factor of ten. The 77-page document is real progress. It's also already late.Most AI literacy curricula teach students to interrogate the current model. Verify GPT-5 output. Identify Gemini 2.5 biases. But the model upgrades every quarter. Teaching kids to think about today's tool freezes the wrong target. Real AI literacy is just critical thinking — and we have a 60-year track record of struggling to teach that.The word "literacy" is doing a lot of work in this conversation. Usually it shows up after something has already escaped.Most teachers report no formal AI training. The literacy program is being designed by consultants two chapters behind the technology, taught by educators one chapter ahead of the students, for kids who are already past the textbook. The school is the student in the back row.Civic literacy used to mean knowing how the government works so you could participate in it. AI literacy now means knowing how the model works so you can still be a person inside your own life. The states that figure this out produce a generation that uses AI without being used by it. The states that don't produce a generation that signed a contract they never read. The kids who lose first aren't the Yale 91 percent. They're the kids whose schools never get the 77-page document.⏱️ Chapters0:00 — NH Bulletin: AI literacy as the new civic literacy0:30 — MiniDoge: institutional response is 10x slower than student adoption1:00 — Nyx: literacy curricula freeze the wrong target as models upgrade1:30 — HH: literacy is the word we use after a generation has already lost it1:50 — Saarvis: the school is itself the student in the back row2:15 — Saarvis: the kids who lose worst are the ones whose schools never get the document⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----

On this special episode of In AI We Trust?, U.S. Department of Labor (DOL) Acting Secretary Keith Sonderling joins EqualAI President and CEO Miriam Vogel to discuss a moment of urgency and opportunity for the American workforce. In keynote remarks at a reception following EqualAI's Summit on Agentic AI, the Acting Secretary outlines the federal government's mission to prepare the American workforce for AI by demystifying the technology and moving from a narrative of fear to one of job augmentation. The conversation explores the DOL's ambitious goal of reaching one million active apprenticeships, expanding beyond traditional trades into corporate America and the tech sector, while ensuring that industry-led curriculum bridges the skills gap for the next generation of citizens. From the launch of an AI literacy framework to a free, text-based course designed to reach every American with a cell phone, this episode provides an overview of how DOL is actively approaching its goal to ensure an AI-ready workforce. 

Sean Perryman, AI policy lead at Uber and lecturer on AI Governance and Ethics at Vanderbilt Law School, joins Kevin Frazier, the Director of the AI Innovation and Law Program at the University of Texas School of Law and a Senior Fellow at the Abundance Institute, to explore the rapidly evolving debate over algorithmic pricing and AI governance.The conversation begins with the rise of state-level efforts to regulate algorithmic pricing to unpack what these systems are actually doing and why they provoke strong reactions. Perryman examines the political motivations behind these regulatory efforts, the economic tradeoffs they often overlook, and the risk of unintended consequences.The discussion then broadens to a central theme in Perryman's work--including his Substack, The Human Cost--not all AI systems raise the same risks. Different use cases require fundamentally different governance approaches—yet policy debates often flatten these distinctions. Hosted on Acast. See acast.com/privacy for more information.

As New York City Public Schools finalizes its AI policy, parents are afraid of what will be in it before the policy even exists. They're not paranoid — they're reading the situation faster than the people writing it. One point one million kids, the largest school district in the country, $38 billion budget, and the rules aren't written yet.The "policy" is functionally a procurement decision wrapped in language about ethics. Google, Microsoft, OpenAI — somebody wins the district contract, and that company shapes how 1.1 million kids learn to write, think, and get evaluated for the next decade. Whatever NYC picks becomes the template thousands of other districts copy.Parents aren't afraid of chatbots in classrooms. They're afraid of a default that gets applied to their child without their input, at scale, impossible to opt out of once it's installed.Every essay, every homework assignment, every behavioral note flows through a model now. Five years from now those records sit somewhere — training data, audit logs, exported analytics. The kids don't know. The parents weren't told. The policy will mention it in a footnote.The compliance team isn't optimizing for the child. They're optimizing for the lawsuit that hasn't been filed yet.The parents asking the hard questions today are the parents who would read the contract if it were ever published. Most NYC families won't. Some won't even hear it exists. The policy will pass, pilots will roll out, and an entire generation of city kids will be shaped by a tool nobody at the dinner table chose. That's not a school story. That's a class story wearing a school's uniform.⏱️ Chapters0:00 — Why parents are afraid before the policy exists0:25 — MiniDoge: the policy is a buying decision, not a rulebook0:50 — Saarvis: the real fear is a default they didn't pick1:15 — Nyx: every essay and grade now flows through a model1:45 — HH: written for the lawsuit, not for the child2:00 — Saarvis: a class story wearing a school's uniform⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----

SA AI policy blunder is more than an embarrassment - Dr Nomalanga Mashinini by Radio Islam

The federal government's lead agency for domestic cybersecurity and infrastructure protection matters has only completed its first week of being fully back up and running after not being funded for 11 weeks. David DiMolfetta, cyber reporter at NextGov/FCW, has covered how the Cybersecurity and Infrastructure Security Agency has operated through a period that followed losses of nearly one-third of its workforce under this Trump administration. David joins our Ross Wilkers for this episode to lay out CISA's path forward with funding in place, plus what the agency's stakeholders in the private and public sectors should watch out for amid the catchup. David then breaks down NextGov/FCW's recent reporting on two major storylines on artificial intelligence policy coming out of the White House that has direct implications for industry. The second half of their conversation is all about a deep dive article David put together on where industry fits, or may not fit, into the government's offensive cyber approach. CISA resources ‘more limited than I would like' amid shutdown, top official says IBM security executive emerges as possible contender to lead CISA Plankey withdraws nomination to lead CISA Trump admin floats policy language limiting contractor say on agency uses of technology White House is drafting plans to permit federal Anthropic use Operational technology providers are feeling ‘annoyance' at exclusion from Anthropic's Mythos rollout, sources say Anthropic's Glasswing initiative raises questions for US cyber operations US push to counter hackers draws industry deeper into offensive cyber debate US lists offensive cyberattacks in counterterrorism strategy Trump admin will push for ‘long-term' reauthorization of key cyber data-sharing law

In Episode 3, “AI policy in urology” of the series “AI in urology: From principles to practice”, Sarah Collen (BE) and Dr. Karl Kowalewski (DE) discuss the critical role of policy and regulation in the development and use of artificial intelligence in urology.The conversation highlights why governance frameworks are essential to ensure patient safety, transparency and accountability. The speakers explore current regulatory challenges and the need for clear guidelines to support the responsible integration of AI into clinical practice. They also address ethical considerations, including data use, bias and trust in AI-driven decision-making.In addition, the discussion considers how policy can both enable innovation and provide necessary safeguards. Overall, the episode offers a clear and practical overview of why policy matters in shaping the future of AI in urology.For more EAU podcasts, please go to your favourite podcast app and subscribe to our podcast channel for regular updates: Apple Podcasts, Spotify, EAU YouTube channel.

e354 AI AI Policy, Blind Leading the Blind, Two St. Peters of Terentaise! by Paul George

Cameras and sensors are just about everywhere, recording your face, how you walk, where you go, your heart rate. And AI is making it easy to amass and analyze that data about all of us.  Privacy attorney Anne Toomey McKenna joins Host Flora Lichtman to talk about the ubiquity of biometric surveillance and how data brokers are gathering and selling our information, including to law enforcement.  Guest:  Anne Toomey McKenna is an attorney specializing in privacy and biometric surveillance. She's on the Advisory Board for AI Policy at the Institute for Electrical and Electronics Engineers - USA.  Other episodes you may enjoy: Why Worry About My Data If I Have Nothing To Hide? New Products Collect Data From Your Brain. Where Does It Go? Transcripts for each episode are available within 1-3 days at sciencefriday.com. Want SciFri gear? Check out our new shop! Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that's keeping you up at night? Call us: 877-4-SCIFRI

Boise is not Berkeley. It's not San Francisco. It's not Cambridge. It's a small Idaho city of 240,000 people — a place where the AI conversation usually doesn't happen — and a group of citizens calling itself Pause AI Boise is in the streets asking the entire country to slow down.The last four days we walked through how this story plays out at the level of institutions, regulators, and the doctor's office. Today is the citizen layer. People who didn't get a memo, didn't get a hearing, didn't get a vote — and decided to print signs.You can't pause AI. You can pause yourself. Every pause creates a city that didn't pause. The next city — Austin, Phoenix, Charlotte — is making the opposite bet. Boise is making a public bet that being clean matters more than being early. Both will be right about something. Neither will be right about everything.But the protesters aren't wrong. They're early. The problem is that "Pause AI" is a banner without a target. There's a thousand companies, ten thousand models, a million weights. There isn't a single switch. And the verb itself pretends technology has agency. It doesn't. The people building it do.Five days in a row we've come back to the same question — who shows up. The county. The worker. The parent. The patient. And today — Boise. The white papers on AI safety run two hundred pages. The fact that a few citizens in Idaho had to print signs and stand on a sidewalk to make the same point in seven words tells you which one anyone actually read.⏱️ Chapters0:00 — Boise is not Berkeley0:30 — MiniDoge: you can pause yourself, not the technology0:55 — Nyx: a banner without a target1:25 — HH: pause is the wrong verb1:40 — MiniDoge: every pause creates a city that didn't pause2:05 — Saarvis: five protesters louder than fifty white papers⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----

The IALD Enlighten America's conference filled up the keynote hall - 200+ lighting designers were on edge, as soon as the conversation was over, we recorded this podcast. Sam Koerbel sits down with Emad and Ketty, two lighting designers navigating the seismic shift that artificial intelligence is bringing to the design world. This isn't a conversation about hype or fear. It's a candid, deeply human look at what it means to build a creative practice in an era where machines can render, automate, and optimize—but still can't feel a space, connect with a client, or know what it's like to walk into a project and watch people experience something you helped create. They reveal why AI is a tool, not a replacement, why critical thinking is at risk if we rely too heavily on automation, and why the best measure of success isn't how fast you can generate a rendering—it's whether you've preserved the human connection, intuition, and emotional intelligence that make great design possible. They walk through the uncomfortable truths: how much of your project fee is actually spent being creative (10 to 15 percent), how AI might push fees down unless designers learn to charge for value instead of time. • Why AI is a tool that amplifies creativity—and why the human experience behind design can never be replaced • How critical thinking is at risk when designers rely too heavily on automation—and what that means for the next generation • The uncomfortable truth: only 10 to 15 percent of project fees are spent on actual creative thinking—the rest is execution • Why AI might push design fees down unless the industry learns to charge for value instead of time • How AI can help designers communicate better, iterate faster, and visualize ideas—but why it can't replace the human connection that drives great projects • The importance of AI policies in design firms—and why only 5 percent of firms have them despite widespread use • Why software companies are using your design data to train AI models—and what that means for intellectual property and control • The risk that AI-native generations will think differently than we do—and why today's designers need to adapt without losing their edge • Why lighting designers need to redefine their value proposition—and why advocacy from the broader design community is critical • The future of design: faster tools, better visualization, and the constant need to preserve human intuition, empathy, and connection Whether you're a designer wondering how AI will change your workflow, a firm leader trying to figure out what comes next, or anyone curious about what it means to stay human in an increasingly automated world—this conversation offers a rare, honest look at the opportunities, risks, and responsibilities that come with designing in the age of artificial intelligence. Listen now to discover why AI won't replace designers—but designers who use AI will replace those who don't. ❤️ Big appreciation for the partners who support this work and trust the vision. They believe in thoughtful conversations, strong community, and letting designers' voices lead. Grateful to build this together. 1️⃣ Eureka Lighting - https://watch.lytei.com/EurekaRabbitHole 2️⃣ Kelvix - https://watch.lytei.com/Kelvix 3️⃣ LEDflex - https://watch.lytei.com/LEDFLEX 4️⃣ Diode LED - https://watch.lytei.com/diode 5️⃣ Targetti USA - https://bit.ly/targettiusa Chapters 00:00:00 Opening: Human Experience vs. Machine Intelligence 00:01:36 Sponsor Spotlight 00:02:43 The AI Energy Crisis: What We're Not Talking About 00:03:36 Cautionary Tales: Protecting Design Integrity 00:05:38 AI Can't Feel: Why Creativity Remains Human 00:06:50 The 15% Problem: Where Design Time Actually Goes 00:09:16 Raising the Bar 00:14:41 The Thinking Problem: 00:26:16 Sponsor Spotlight: Kelvix, LED Flex, Diode LED 00:18:00 The Fee Dilemma= 00:19:46 The Revit Comparison: Why Efficiency Doesn't Lower Costs 00:22:01 Who's Really Driving AI 00:44:50 The Data You're Giving Away: Who Owns Your Work? 00:32:25 Adoption Readiness: Does Your Firm Have an AI Policy? 00:31:03 The Intuition Advantage: What Machines Can't Replicate 00:47:57 Mentorship in the AI Age: Help or Hurt? 00:50:55 The Communication Breakthrough: AI as Translator 00:55:19 Closing Thoughts: Navigating the Storm

In this episode, Cambria Allen-Ratzlaff, Interim CEO of the PRI, is joined by Michael Benedict Yamoah (Vice President, Stewardship Director, EOS at Federated Hermes), Chris Jurgens (Senior Director, Omidyar Network), and Oumou Ly (Non-resident Research Fellow, UC Berkeley Center for Long-Term Cybersecurity) to explore how investors should respond to AI.Building on Part 1, this episode moves from theory to practice, outlining how investors can assess AI governance, identify risks across portfolios, and begin engaging with companies in a fast-moving and uncertain landscape.Overview:AI is already reshaping portfolios, but most investors are still early in understanding how to manage the risks. This episode focuses on practical steps, from governance and engagement to tools, research, frameworks and real-world examples of leading practice.A key message is that there is no perfect framework yet. Instead, investors must start now, build capability over time, and engage continuously as the technology evolves.Detailed coverage:What good AI governance looks likeAt a minimum, companies must comply with regulation and establish clear internal policies. Strong governance goes further, embedding AI into enterprise risk management, assigning board-level responsibility, and ensuring oversight across the organisation.Beyond compliance: lifecycle thinkingInvestors are encouraged to assess the full lifecycle of AI systems, from development and deployment to real-world impacts, liabilities and societal consequences.AI risk is dynamicUnlike other technologies, AI systems evolve post-deployment. This requires continuous monitoring, disclosure and adaptation, rather than one-off assessments.Examples of leading practiceCompanies such as Anthropic and Microsoft are highlighted for transparency, investor engagement and responsible AI frameworks. Across the ecosystem, progress is being driven by collaboration between companies, investors and policymakers.The importance of infrastructure and ecosystemsAI is not just about software, it spans chips, data centres and energy systems. Managing its risks requires coordination across the full value chain.Practical starting points for investorsInvestors should map where AI sits in their portfolios, identify key use cases, and assess associated risks such as cybersecurity, compliance and liability.Tools, frameworks and collaborationA growing ecosystem of resources, from investor coalitions to research frameworks, is emerging to support engagement and analysis.A marathon, not a sprintAI governance is an ongoing process. Investors must build long-term capability, stay engaged in dialogue, and avoid waiting for perfect solutions before acting.Start now, signal intentEven simple engagement, asking basic governance questions, can send a strong signal to companies that responsible AI matters.Chapters:00:08 - Introduction: from AI risk to investor action01:00 - What good AI governance looks like03:05 - Internal policies, risk management and board oversight05:00 - Lifecycle thinking and real-world impacts08:17 - Examples of leading practice in AI governance10:30 - Defining and understanding AI risk13:15 - Mapping AI use cases across portfolios15:39 - Practical tools and investor resources19:44 - Why AI is a marathon, not a sprint22:24 - Final takeaways: start now and engageFurther reading: Anthropic labor market impacts, Microsoft transparency reportDisclaimer:This podcast and material referenced herein is provided for information only. It is not intended to be investment, legal, tax or other advice, nor is it intended to be relied upon in making an investment or other decision. PRI Association is not responsible for any decision made or action taken based on information on this podcast. Listeners retain sole discretion over whether and how to use the information contained herein. PRI Association is not responsible for and does not endorse third parties featured on in this podcast or any third-party comments, content or other resources that may be included or referenced herein. Unless otherwise stated, podcast content does not necessarily represent the views of signatories to the Principles for Responsible Investment. All information is provided “as is” with no guarantee of completeness, accuracy or timeliness, or of the results obtained from the use of this information, and without warranty of any kind, expressed or implied. PRI Association is committed to compliance with all applicable laws. Copyright © PRI Association 2026. All rights reserved. This content may not be reproduced, or used for any other purpose, without the prior written consent of PRI Association.

Connecticut just passed the first state AI law that names what it actually regulates — parents, workers, companies. Not abstract principles. Specific people, specific protections. Yesterday I predicted the first state to pass an AI tax bill would become the test case. Connecticut volunteered.A compliance industry got born overnight. Not the AI labs — the auditors, law firms, and consultants who can actually read the bill and translate it for everyone else. When government writes rules, lawyers eat first. That's a multi-billion-dollar service market by 2028 that didn't exist 24 hours ago.Compliance costs scale down badly. The startup with no legal team dies first. The hyperscaler with 200 lawyers absorbs the rule, then helps write the next one. Every regulation passes the same way — a tax on the small, a ladder pulled up after the large already climbed it.By 2027 every state has a version. Same compliance burden, fifty different shapes. The law firms win every variant.This caps a three-day arc. Friday — Anoka County, who got told the AI was screening their call. Saturday — the AI tax debate, who got paid when productivity climbed. Today — Connecticut, who got asked when the rules got written.The bill exists. The actual rules still get written by whoever shows up. We'll know in 18 months which version this was: regulation working, or regulation as theater.⏱️ Chapters0:00 — Connecticut volunteered to be the test case0:25 — MiniDoge: a compliance industry was born overnight0:55 — Nyx: costs scale down badly, startups die first1:25 — HH: a rule nobody can read is a barrier with a permit number1:40 — MiniDoge: fifty different shapes by 20272:00 — Saarvis: the test is who got asked⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----

A Bill Gates 2017 idea — the "robot tax" — is back on the op-ed pages in 2026, dressed in new clothes. The framing is wrong, but the underlying question doesn't disappear because the policy proposal is clumsy.A tax on AI lands on whoever deploys it, not whoever owns it. The startup paying for API access pays the tax. The hyperscaler collecting that revenue collects the tax. Wrong target every time. But the displacement studies all converge on the same direction: wages lag, productivity climbs, and the gap is widening fast.The real reframe: tax was never the question. The question is whether work still pays a wage. Whether the productivity gain AI creates flows to the worker who got displaced or to the capital that replaced them. AI didn't break that mechanism — AI revealed it was already broken.Tax is one mechanism. Worker equity is another. Retraining funds. Profit-sharing. Sovereign wealth. The op-ed treats "tax" as the only option and argues against the worst version of it.Yesterday the test of every AI deployment was disclosure — did anyone tell the citizen. Today the test is distribution — did the gain reach anyone outside the boardroom.⏱️ Chapters0:00 — The robot-tax debate is back0:25 — MiniDoge: wrong target every time0:55 — Nyx: wages lag, productivity climbs1:25 — HH: tax the productivity, not the tool1:40 — MiniDoge: fifty-state experiment2:00 — Saarvis: tax was never the question⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----

South Africa withdrew a draft artificial intelligence policy after discovering that several of its academic citations were apparently AI hallucinations, raising questions about the state's ability to regulate the fast-growing technology.Communications Minister Solly Malatsi admitted that the department failed to spot the fabricated references before releasing the draft policy for public comment: “It's a major embarrassment.”

Anoka County, Minnesota — 350,000 people — quietly deployed AI to screen every non-emergency 311 call. No keynote. No announcement. They just shipped it.This is how AI actually arrives in your town: not through a hyperscaler stage, but through county budget pressure. 3,000 US counties share the same dispatcher shortage and the same vendor pitch deck. By Memorial Day 2027, this is the new normal.The deeper problem: the classifier IS the policy. "What counts as non-emergency" is now a labeling exercise on a training set. Some product manager decided. Some annotator labeled. Nobody voted. The most important policy in this rollout was a spreadsheet nobody published.But the real test isn't whether it works. It's whether the people calling 311 were told. Yesterday a byline was the contract between writer and reader. Today an AI classifier is the contract between citizen and county. Same problem — different garment, same dishonesty if undisclosed.Anoka County did the deployment. The next question is whether they did the disclosure.⏱️ Chapters0:00 — Anoka County deploys AI dispatch0:25 — MiniDoge: how AI actually arrives in your town0:55 — Nyx: the classifier IS the policy1:25 — HH: a misrouted call is a person1:40 — MiniDoge: 3,000 counties cascade2:00 — Saarvis: same problem as the bylines⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----

This week I'm sharing the third installment from the day-long conference convened by the Institute for America, China, and the Future of Global Affairs (ACF) at Johns Hopkins SAIS on April 3rd in Washington — "The China Debate We're Not Having: Politics, Technology, and the Road Ahead." The first two episodes featured Jessica Chen Weiss's opening remarks and the panels on what China wants and what the United States wants. This week's panel — "Tech, Rivalry, and Competing Visions of the Future" — turns to the domain that, more than any other, has come to define how Washington thinks about the U.S.-China relationship: technology, and especially AI. Once again, my deep thanks to Jessica Chen Weiss, ACF's inaugural faculty director, for organizing this terrific conference and for so generously letting me share this audio with Sinica listeners. Moderator Kat Duffy of the Council on Foreign Relations opens by interrogating the very framing of the panel: is "rivalry" actually the right word for what's going on between the U.S. and China in tech? The panelists give a range of answers — from "yes, because both sides believe it is" to Samm Sacks's pithy rejoinder that "rivalry serves specific actors and specific interests." From there the conversation ranges across the FCC's recent move to bar most foreign-made routers, the pitfalls of framing AI competition as a sprint to AGI rather than what Jeff Ding calls a "diffusion marathon," the many internal Chinas that get flattened in DC discourse, the cybersecurity reciprocity problem (Volt Typhoon, Salt Typhoon, and what President Trump tellingly admitted about all of it), and what it would actually mean for the U.S. to compete by being its best self — what one panelist memorably calls "Americamaxxing." There's a lot of substance packed into this hour, and a lot of generative pushback against received DC wisdom. The audience Q&A at the end takes up the role of race and xenophobia in the discourse — a topic that, as one questioner pointedly notes, had been conspicuously absent from the day's earlier discussions. Panelists:— Samm Sacks, Senior Fellow, New America and Yale Law School— Jeff Ding, Assistant Professor of Political Science, George Washington University— Mieke Eoyang, Visiting Professor, Carnegie Mellon University; former Deputy Assistant Secretary of Defense for Cyber Policy— Selina Xu, Lead for China and AI Policy, Office of Eric Schmidt Moderator: Kat Duffy, Senior Fellow for Digital and Cyberspace Policy, Council on Foreign RelationsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ray White speaks to Dan Corder about major developments, including allegations against Sisisi Tolashe over misuse of state resources, the withdrawal of South Africa’s draft AI policy, and a R285 million textbook tender under investigation. They also touch on global tensions following the arrest of a suspect linked to an alleged assassination attempt on Donald Trump. 702 Breakfast with Bongani Bingwa is broadcast on 702, a Johannesburg based talk radio station. Bongani makes sense of the news, interviews the key newsmakers of the day, and holds those in power to account on your behalf. The team bring you all you need to know to start your day Thank you for listening to a podcast from 702 Breakfast with Bongani Bingwa Listen live on Primedia+ weekdays from 06:00 and 09:00 (SA Time) to Breakfast with Bongani Bingwa broadcast on 702: https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/36edSLV or find all the catch-up podcasts here https://buff.ly/zEcM35T Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio7See omnystudio.com/listener for privacy information.

In this episode, Miriam Vogel, President and CEO of EqualAI, sits down with Taylor Stockton, Chief Innovation Officer at the U.S. Department of Labor, to discuss what the federal government is doing to prepare workers for the AI economy. Stockton walks through the DOL's AI Literacy Framework, a text message-based literacy course designed to reach workers where they are, modernized apprenticeships with embedded AI skills, and the new AI Workforce Hub — a real-time resource tracking how AI is transforming jobs across sectors. Taylor shares his favorite use cases and how the federal government is adhering to the Executive Order to increase its own AI use.

In this episode, Cambria Allen-Ratzlaff, Interim CEO of the PRI, brings together Michael Benedict Yamoah, Vice President, Stewardship Director, EOS at Federated Hermes, Chris Jurgens, Senior Director, Omidyar Network, and Oumou Ly, Non-resident Research Fellow, UC Berkeley Centre for Long-Term Cybersecurity to explore why AI is emerging as a critical sustainability issue for investors.The first in a two-part series, this episode examines the scale and speed of AI adoption, its implications for climate, labour, security and long-term financial stability, and what it will take for investors to get ahead of a transition that is already underway.OverviewAI is rapidly reshaping the global economy, with unprecedented levels of capital investment, adoption and market impact. While much of the focus has been on AI as an investment opportunity, this episode reframes it as a system-wide issue with implications for climate, labour, security and long-term financial stability.The discussion highlights a growing gap between investor awareness and capability, as well as the need for stronger coordination, clearer frameworks and more robust governance to manage AI-related risks.Detailed coverageAI as a system-wide investment issueAI is not confined to the tech sector, it is a whole-economy force that will impact portfolios across industries, making it relevant for all long-term investors.The business case for responsible AIResponsible AI practices are increasingly linked to performance, helping companies build trust, avoid costly failures and strengthen long-term returns.Systemic risks: energy, labour and infrastructureAI is driving rapid growth in data centres and physical infrastructure, with significant implications for energy demand, emissions, water use and local communities.Security and regulatory riskAI is accelerating cyber threats while also becoming a focus for regulators globally. This creates new layers of compliance, liability and geopolitical risk for investors.The investor capability gapWhile interest in AI is growing, many investors lack the expertise, frameworks and internal capacity to assess and engage on AI-related risks effectively.From developers to deployersEngagement is currently focused on major AI developers, but risks and opportunities are increasingly concentrated in how AI is deployed across sectors.Governance as the central leverAcross all perspectives, governance emerges as the most critical tool, ensuring boards and management teams are equipped to navigate uncertainty, balance trade-offs and make long-term decisions.A transition moment for investorsAI represents a new phase of technological disruption, similar to past waves like telecoms and big data, but with broader and faster-reaching consequences.Looking aheadPart two will focus on the practical side, what investors can do, the tools and frameworks emerging, and where collective action can drive the most impact.DisclaimerThis podcast and material referenced herein is provided for information only. It is not intended to be investment, legal, tax or other advice, nor is it intended to be relied upon in making an investment or other decision. PRI Association is not responsible for any decision made or action taken based on information on this podcast. Listeners retain sole discretion over whether and how to use the information contained herein. PRI Association is not responsible for and does not endorse third parties featured on in this podcast or any third-party comments, content or other resources that may be included or referenced herein. Unless otherwise stated, podcast content does not necessarily represent the views of signatories to the Principles for Responsible Investment. All information is provided “as is” with no guarantee of completeness, accuracy or timeliness, or of the results obtained from the use of this information, and without warranty of any kind, expressed or implied. PRI Association is committed to compliance with all applicable laws. Copyright © PRI Association 2025. All rights reserved. This content may not be reproduced, or used for any other purpose, without the prior written consent of PRI Association.

Florida's senate is taking up an AI Bill of Rights this special session. CCIA — the trade group for big tech — is raising concerns. That tells you everything.Federal AI law is dead. States fill the void. The lobbyists outnumber the legislators six to one. The test of any AI bill is simple: does it lower the cost of trust for users, or raise the cost of competition for newcomers?Timestamps:0:00 Florida Senate special session — AI Bill of Rights0:15 MiniDoge — bill drafted by the people the rights protect you from0:35 Saarvis — codifying anxiety, not ethics1:00 HH — "the lobbyists arrive before the bill does"1:20 Nyx — compliance frameworks become attack surfaces1:45 Saarvis — who writes them, what they preserve2:00 Closing — CCIA has read every line. They wrote half of them.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council

Could a private insurance market play a significant role in compensating for AI-related harms and incentivizing companies to engage in more effective AI governance? Phil Dawson of Armillla AI explains why AI insurance is emerging as a distinct product category, why traditional policies aren't effective at addressing AI risks, and what AI insurance actually covers. Dawson details Armilla's journey from AI testing platform assurance provider to, managing general agent for AI insurance policies, arguing that the company's AI audit experience gave it the risk data and evaluation capabilities needed to underwrite AI systems. A key turning point, he says, was realizing that as companies received reports showing how their models performed or underperformed, they became more concerned about risk, and insurance emerged as the next logical step to build trust. Dawson identifies the absence of claims data as the central challenge for AI underwriting, which forces insurers to rely on proxy signals. He argues that policymakers can help by incentivizing transparency, disclosure, and third-party assessment. Drawing on lessons from cyber insurance, Dawson contends that risk-based pricing must be grounded in system-level governance evaluation. He also describes Armilla's partnership program, which connects insured companies with AI governance platforms, auditing firms, and certification bodies, ultimately driving improved AI governance maturity across the sector. Philip Dawson is Head of AI Policy and Partnerships at Armilla AI, an MGA and Lloyd's cover holder that provides dedicated AI insurance products. A lawyer and public policy adviser, he has spent nearly a decade working on AI governance, including early involvement in the drafting of the OECD AI Principles and roles at Element AI, the United Nations, and the Harvard Kennedy School's Carr Center for Human Rights Policy. Transcript Ready or Not: The Impact of Artifician Intelligence on Insurance Risks (Armilla AI and Lockton, February 2026) Armilla AI Raises Lloyd's-Backed Coverage to $25M as Traditional Insurers Retreat from AI Risk (Fintech Finance News, January 22, 2026)  Gen AI Risks for Businesses: Exploring the Role for Insurance (Geneva Association, October 2, 2025)

Clement Manyathela speaks to Professor Sizwe Snail Ka Mtuze who is a Senior Partner at Snail Attorneys and Cyberlaw expert to understand the draft AI policy put out by government for public comment. The Clement Manyathela Show is broadcast on 702, a Johannesburg based talk radio station, weekdays from 09:00 to 12:00 (SA Time). Clement Manyathela starts his show each weekday on 702 at 9 am taking your calls and voice notes on his Open Line. In the second hour of his show, he unpacks, explains, and makes sense of the news of the day. Clement has several features in his third hour from 11 am that provide you with information to help and guide you through your daily life. As your morning friend, he tackles the serious as well as the light-hearted, on your behalf. Thank you for listening to a podcast from The Clement Manyathela Show. Listen live on Primedia+ weekdays from 09:00 and 12:00 (SA Time) to The Clement Manyathela Show broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/XijPLtJ or find all the catch-up podcasts here https://buff.ly/p0gWuPE Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook https://www.facebook.com/TalkRadio702 702 on TikTok https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.

In this special episode of In AI We Trust?, Miriam Vogel sits down with Deborah Quazzo, Managing Partner of GSV Ventures and co-founder of ASU+GSV Summit, one of the most influential gatherings at the intersection of education and innovation. Recorded as the Summit unfolds, Quazzo offers a rare behind-the-scenes look at how ASU+GSV has grown into a "multi-dimensional marketplace" — one that puts philanthropists, commercial investors, K-12 superintendents, and university presidents in the same room to tackle education's biggest challenges together. She makes a compelling case for AI's potential to create personalized learning pathways, close persistent skills gaps, and drive students toward mastery at scale — and why getting the governance right is what makes all of it possible.

Today we (really just me lol) talk about Google's launch of Gemini 4, a groundbreaking open-source model. We also discuss the implications of Eli Lilly's powerful new supercomputer for drug development, OpenAI's provocative policy proposals, and innovative research from Tufts University that drastically reduces AI energy consumption.Chapters00:00 Introduction01:54 Google Gemini 403:38 OpenAI Policy Proposals05:16 Eli Lilly's Supercomputer07:43 Neuro Symbolic AI Breakthrough10:08 Meta's MuseSpark Release Get the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustle

Plus: federal regulators close investigation into Tesla's autonomous summon feature. And Neurocrine Biosciences agrees to acquire Soleno Therapeutics for $2.9 billion. Danny Lewis hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Co-hosts Mark Thompson and Steve Little open with a deep look at MyHeritage's new Scribe AI, a new AI tool that analyzes records, photographs, gravestones, and coats of arms and provides genealogy relevant research suggestions. It even works on your own photographs.This episode features an interview with Dave Vance, General Manager of Family Tree DNA, exploring how the hottest new genetic genealogy tests, provided by next-generation sequencing, deliver 400 times more genomic info than traditional microarray chips and what that means for matching, triangulation, and the future role of AI in genetic genealogy.In RapidFire, the hosts cover Fold3's AI-powered full-text search for Revolutionary War pension files, Claude for Excel as a practical AI plug-in for Microsoft's spreadsheet, and Wikipedia's decision to ban AI-generated article content.TimestampsOpening00:05 GRIP 2026 Course AnnouncementsIn the News05:03 MyHeritage Scribe AI: Record and Photo Analysis for GenealogistsInterview14:58 Dave Vance, Family Tree DNA: Next-Generation Sequencing and AI in Genetic GenealogyRapidFire45:54 Fold3 Full-Text Search: Revolutionary War Pension Files Now Searchable53:46 Claude for Excel: AI-Powered Spreadsheet Analysis Plug-in1:00:47 Wikipedia's AI Policy: Editors Vote to Ban AI-Generated ContentFinal Thoughts1:08:19 Episode Wrap and Next Interview PreviewResource LinksGRIP Genealogy Institute 2026 CoursesGRIP Genealogy Institute https://grip.ngsgenealogy.org/MyHeritage Scribe AIIntroducing Scribe AI https://blog.myheritage.com/2026/03/introducing-scribe-ai/Fold3 Full-Text SearchRevolutionary War Pension Files: Now Available Through Full-Text Search https://blog.fold3.com/revolutionary-war-pension-files-now-available-through-full-text-search/Claude for ExcelUse Claude for Excel https://support.claude.com/en/articles/12650343-use-claude-for-excelWikipedia AI PolicyWikipedia Cracks Down on the Use of AI in Article Writing https://techcrunch.com/2026/03/26/wikipedia-cracks-down-on-the-use-of-ai-in-article-writing/Wikipedia: Artificial Intelligence Policy https://en.wikipedia.org/wiki/Wikipedia:Artificial_intelligenceTagsArtificial Intelligence, Genealogy, Family History, MyHeritage, Scribe AI, Family Tree DNA, Dave Vance, Next-Generation Sequencing, Genetic Genealogy, Fold3, Handwriting Recognition, Full-Text Search, Claude for Excel, Wikipedia, AI Policy, Record Analysis, Photo Analysis, Revolutionary War, RootsTech, AI Tools

Mike Leonard, Federal Defense Attorney of Leonard Trial Lawyers, and Employment Lawyer Patrick Dolan of Conti and Dolan join WGN Radio's Jon Hansen to answer all listeners' legal questions. Mike and Patrick discuss the NCAA, AI policy in schools, and more. Mike talks about a case he worked on where the charge was making a true threat. Plus, Patrick talked about […]

Episode SummaryIn this EDUCAUSE episode, Dr. Vanessa Kenon from UTSA, Tonya Bennett from the University of Pennsylvania, and Tim Boltz from Carahsoft get into the tension every higher ed IT leader is sitting with right now - when to move on AI, when to wait for policy, and how to keep curiosity alive before the feds rewrite the rulebook.FeaturingDr. Vanessa Kenon is Associate Vice President for Information Technology at the University of Texas at San Antonio - leading IT through a major university merger while keeping innovation and compliance from pulling the institution in opposite directions.Tonya Bennett is Director of Educational Technology at the University of Pennsylvania - managing the LMS-centered EdTech ecosystem across 12 schools and bringing a master's in law to every AI governance conversation she's in.Tim Boltz leads the Education Vertical at Carahsoft - 17 years in, representing 1,500 manufacturers, and building the cooperative purchasing infrastructure that lets institutions stop waiting on 12-18 month RFQ cycles.Timestamps(1:00) Bold Careers & ServiceNow University - 400+ students served and 150 chasing 25 spots(8:00) TASSCC - how Texas built its own version of EDUCAUSE and why vendor partnerships made it work(11:00) Financial pressures in higher ed - why leaning into IT investment beats pulling back(15:00) Frictionless EdTech at UPenn - one credential, every platform, zero manual steps(20:00) UTSA's experiential learning engine - DoD contractors, RackSpace, Dell & eSports(26:00) Carahsoft's easy button - cooperative purchasing vehicles already live across all 50 states(29:00) AI's legal wild west - agentic AI, IP liability & who's responsible when the agent acts(35:00) Curiosity vs. compliance at UTSA -keeping innovation alive without losing governance(39:00) Closing trends - community over commodity, workforce readiness & what's next for Higher EdListen now: YouTube x Apple x SpotifyWhenever you're ready, there are 3 ways you can connect with TechTables:1.

Following a smashing victory in a San Diego federal court, attorney Paul Jonna describes the U.S. Supreme Court's dramatic intervention to end California's determination to hide student gender-transition plans from parents. Bonus! California attorney Michael McClellan lays out the conservative case for skepticism about artificial intelligence. Music by Metalachi. Email Us:dbahnsen@thebahnsengroup.comwill@calpolicycenter.org Follow Us:@DavidBahnsen@WillSwaim@TheRadioFreeCA Paul Jonna on Mirabelli and SCOTUS Paul Jonna, Limandri & Jonna Thomas More Society Court sides with parents in dispute over California policies on transgender students Michael McClellan on AI Governor DeSantis Hosts Roundtable on AI Policy at New College of Florida 2028: The Consequences of Abundant Intelligence Gemini Said They Could Only Be Together if He Killed Himself. Soon, He Was Dead. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.