The AI Governance Collective Podcast

This is Episode 1 of The AI Governance Collective Podcast. Kyle David and Emily Dorlack, JD start with four stories from the past week. Then they talk with Justine Gluck, Policy Analyst for AI Policy and Legislation at the Future of Privacy Forum, about where U.S. state AI law is heading. In the news roundup: - Anthropic's S-1 filing and what its responsible scaling disclosures mean for governance teams - New York's new AI companion law (GBL Article 48) and the twelve features it bars for minors - OpenAI's four-layer monitoring system for frontier models - Anthropic's invisible text watermarking, how AI-generated content gets labeled, and why a watermark alone can't prove who wrote something In the interview, Justine talks about what she learned drafting bills in the California Legislature. She explains why states have moved away from comprehensive AI bills toward narrower, sector-specific laws, and why no chatbot law has become the standard the way CCPA and GDPR did for privacy. She also covers how California and New York took different routes on chatbot safety for minors. Her advice to anyone who isn't following state AI law yet: you should be. Kyle and Emily close with what they took from the conversation, including why governance teams should start reading bills before they become law. Read the full transcript: https://aigovcollective.com/podcast/episode-1-state-ai-laws-justine-gluck/ All episodes: https://aigovcollective.com/podcast/ Mentioned in this episode: - Regulating the Conversation: The U.S. Landscape of AI Chatbot Legislation (FPF): https://fpf.org/blog/new-fpf-report-analyzes-the-rise-in-chatbot-legislation-whats-ahead/ - FPF 2026 Chatbot Legislation Tracker: https://fpf.org/2026-chatbot-legislation-tracker/ - Future of Privacy Forum: https://fpf.org - The Algorithmic Update, Tatiana Rice's newsletter: https://thealgorithmicupdate.substack.com - OWASP AI Bill of Materials (AIBOM) project: https://genai.owasp.org/owasp-aibom/ - Databricks AI Security Framework (DASF): https://www.databricks.com/resources/whitepaper/databricks-ai-security-framework-dasf - SynthID Text: https://ai.google.dev/responsible/docs/safeguards/synthid Join the AI Governance Collective, the community of practice behind this show: https://www.aigovcollective.com Guest ideas and feedback: [email protected]

In the first episode of The AI Governance Collective Podcast, co-hosts Dr. Kyle David and Emily Dorlack, JD introduce themselves and explain what the show is for. Emily tells how she went from procurement at a major health plan to AI governance advisor after seeing the words "responsible AI program" in a 2022 meeting. Kyle talks about 20 years of teaching, his work on privacy and AI literacy at the U.S. Department of Energy, and why he started the AI Governance Collective. Then they take live questions from the audience: - Is the AIGP exam graded on a curve? - How do you build AI governance experience before anyone hires you for it? - How do you make the case for AI governance when leadership calls it paperwork? - What are the most common reasons people fall short on the AIGP exam? - How much does AIGP exam prep cover the EU AI Act? Resources mentioned: - The AI Governance Collective and the NIST AI RMF template working group: aigovcollective.com - Free IAPP exam strategy class and free AIGP key terms quiz: drdavidprivacy.com Weekly episodes start the week of November 9.