James Gealy On AI Safety Standards For Frontier Models

<p>In this episode, hosts Michael Mainelli and Adam Leon Smith welcome James Gealy, Standardization Lead at Safer AI, a French NGO focused on AI risk modelling. With a background in spacecraft testing and operations at Northrop Grumman and Airbus, James brings hard-earned lessons from high-stakes risk and quality management, inspired by the Challenger disaster, into the world of AI standards.</p><p>James discusses Safer AI’s pioneering risk modelling work on how frontier models like Claude’s Mythos could amplify cyber threats, benchmark saturation, and real-world harms. He also shares insights on his key standards roles, including editing ISO/IEC 42119 Part 8 on LLM benchmarking and red teaming, co-editing the European AI Risk Management Standard, and leading a new Preliminary Work Item on the safety of AI models, systems, and applications.</p><p>The conversation explores balancing innovation with safety, standards’ role in the EU AI Act, international collaboration, and the challenges of addressing frontier risks. A timely, pragmatic discussion on turning real-world risk insights into actionable global standards.</p><p></p>