

AI Governance Club
🌍 AI Governance Club
AI systems are becoming more autonomous, and that raises practical questions about deception, misalignment, and how risky behavior can be spotted in the real world. This session looks at the paper through an AI governance lens, focusing on oversight, incident monitoring, accountability, and emerging loss-of-control risks.
Join the AI Governance Club for Session 29, where we'll discuss:
Scheming in the Wild: Detecting Real-World AI Scheming Incidents with Open-Source Intelligence (2026)
Shane, T. S., Mylius, S., & Hobbs, H.
Session format: Presentation & Open moderated discussion
Presenter: Phil Lunn
Phil is one of our regular club members and is currently serving in an AI policy role with Thames Valley AI (TVAI) and a Center of AI Safety Facilitation role, focusing on AI policy and safety education. He also brings valuable experience in community event facilitation and institutional governance to the discussion.
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