Lunchtime BABLing with Dr. Shea Brown

🎙️ Lunchtime BABLing Podcast: What Will a Trump Presidency Mean for AI Regulations? In this thought-provoking episode, BABL AI CEO Dr. Shea Brown is joined by COO Jeffery Recker and CSO Bryan Ilg to explore the potential impact of a Trump presidency on the landscape of AI regulation. 🚨🤖 Key topics include: Federal deregulation and the push for state-level AI governance. The potential repeal of Biden's executive order on AI. Implications for organizations navigating a fragmented compliance framework. The role of global AI policies, such as the EU AI Act, in shaping U.S. corporate strategies. How deregulation might affect innovation, litigation, and risk management in AI development. This is NOT a political podcast—we focus solely on the implications for AI governance and the tech landscape in the U.S. and beyond. Whether you're an industry professional, policymaker, or tech enthusiast, this episode offers essential insights into the evolving world of AI regulation.Check out the babl.ai website for more stuff on AI Governance and Responsible AI!

In this episode of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown dives deep into one of the most pressing questions in AI governance today: how do we ensure the safety of Large Language Models (LLMs)? With new regulations like the EU AI Act, Colorado’s AI law, and emerging state-level requirements in places like California and New York, organizations developing or deploying LLM-powered systems face increasing pressure to evaluate risk, ensure compliance, and document everything. 🎯 What you'll learn: Why evaluations are essential for mitigating risk and supporting compliance How to adopt a socio-technical mindset and think in terms of parameter spaces What auditors (like BABL AI) look for when assessing LLM-powered systems A practical, first-principles approach to building and documenting LLM test suites How to connect risk assessments to specific LLM behaviors and evaluations The importance of contextualizing evaluations to your use case—not just relying on generic benchmarks Shea also introduces BABL AI’s CIDA framework (Context, Input, Decision, Action) and shows how it forms the foundation for meaningful risk analysis and test coverage. Whether you're an AI developer, auditor, policymaker, or just trying to keep up with fast-moving AI regulations, this episode is packed with insights you can use right now. 📌 Don’t wait for a perfect standard to tell you what to do—learn how to build a solid, use-case-driven evaluation strategy today.Check out the babl.ai website for more stuff on AI Governance and Responsible AI!

🇩🇪 People can join Quantpi's "RAI in Action" event series kicking off in Germany in March: 👉 https://www.quantpi.com/resources/events 🇺🇸 U.S. based folks can join Quantpi's GTC session on March 20th called "A scalable approach toward trustworthy AI": 👉 https://www.nvidia.com/gtc/session-catalog/?ncid=so-link-241456&linkId=100000328230011&tab.catalogallsessionstab=16566177511100015Kus&search=antoine#/session/1726160038299001jn0f 👉 Lunchtime BABLing listeners can save 20% on all BABL AI online courses using coupon code "BABLING20". 📚 Sign up for our courses today: https://babl.ai/courses/ 🔗 Follow us for more: https://linktr.ee/babl.ai 🎙️ Lunchtime BABLing: An Interview with Mahesh Chandra Mukkamala from Quantpi 🎙️ In this episode of Lunchtime BABLing, host Dr. Shea Brown, CEO of BABL AI, sits down with Mahesh Chandra Mukkamala, a data scientist from Quantpi, to discuss the complexities of black box AI testing, AI risk assessment, and compliance in the age of evolving AI regulations. 💡 Topics Covered: ✔️ What is black box AI testing, and why is it crucial? ✔️ How Quantpi ensures model robustness and fairness across different AI systems ✔️ The role of AI risk assessment in EU AI Act compliance and enterprise AI governance ✔️ Challenges businesses face in AI model evaluation and best practices for testing ✔️ Career insights for aspiring AI governance professionals With increasing regulatory pressure from laws like the EU AI Act, companies need to test their AI models rigorously. Whether you’re an AI professional, compliance officer, or just curious about AI governance, this conversation is packed with valuable insights on ensuring AI systems are trustworthy, fair, and reliable. 🔔 Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest AI governance insights from BABL AI! 📢 Listen to the podcast on all major podcast streaming platforms 📩 Connect with Mahesh on Linkedin: https://www.linkedin.com/in/maheshchandra/ 📌 Follow Quantpi for more AI insights: https://www.quantpi.comCheck out the babl.ai website for more stuff on AI Governance and Responsible AI!

Welcome back to another insightful episode of Lunchtime BABLing! In this episode, BABL AI CEO Dr. Shea Brown and COO Jeffery Recker dive into a fascinating discussion on how the NIST AI Risk Management Framework could play a crucial role in guiding companies like Deloitte through Federal Trade Commission (FTC) investigations. In this episode, Shea and Jeffery on a recent complaint filed against Deloitte regarding its automated decision system for Medicaid eligibility in Texas, and how adherence to established frameworks could have mitigated the issues at hand. 📍 Topics discussed: Deloitte’s Medicaid eligibility system in Texas The role of the FTC and the NIST AI Risk Management Framework How AI governance can safeguard against unintentional harm Why proactive risk management is key, even for non-AI systems What companies can learn from this case to improve compliance and oversight Tune in now and stay ahead of the curve! 🔊✨ 👍 If you found this episode helpful, please like and subscribe to stay updated on future episodes.Check out the babl.ai website for more stuff on AI Governance and Responsible AI!

🎙️ Lunchtime BABLing: 2024 - An AI Year in Review 🎙️ Join Shea Brown (CEO, BABL AI), Jeffery Recker (COO, BABL AI), and Bryan Ilg (CSO, BABL AI) as they reflect on an extraordinary year in AI! In this final episode of the year, the trio dives into: 🌟 The rapid growth of Responsible AI and algorithmic auditing in 2024. 📈 How large language models are redefining audits and operational workflows. 🌍 The global wave of AI regulations, including the EU AI Act, Colorado AI Act, and emerging laws worldwide. 📚 The rise of AI literacy and the "race for competency" in businesses and society. 🤖 Exciting (and risky!) trends like AI agents and their potential for transformation in 2025. Jeffery also shares an exciting update about his free online course, Introduction to Responsible AI, available until January 13th, 2025. Don’t miss this opportunity to earn a certification badge and join a live Q&A session! 🎉 Looking Ahead to 2025 What’s next for AI governance, standards like ISO 42001, and the evolving role of education in shaping the future of AI? The team shares predictions, insights, and hopes for the year ahead. 📌 Key Takeaways: AI is maturing rapidly, with businesses adopting governance frameworks and grappling with new regulations. Education and competency-building are essential to navigating the changing AI landscape. The global regulatory response is reshaping how AI is developed, deployed, and audited. Link to Raymon Sun's Techie Ray Global AI Regulation Tracker: https://www.techieray.com/GlobalAIRegulationTracker 💡 Don’t miss this thought-provoking recap of 2024 and the exciting roadmap for 2025!Check out the babl.ai website for more stuff on AI Governance and Responsible AI!