Research / Sources
Policy research on advanced AI security and governance. www.iaps.ai
A policy report arguing that competitive pressure could push AI developers away from human-readable chain-of-thought reasoning, undermining monitoring, and proposing governance options to preserve CoT monitorability.
IAPS experts review the US AI Action Plan through a national security and AGI-risk lens, praising its goals and identifying gaps and implementation considerations.
A blog post on an Oxford Martin AI Governance Initiative paper examining which actors, such as governments, labs or third parties, should develop which AI model evaluations.
Commentary on how the International Network of AI Safety Institutes should set priorities, structure membership and coordinate on safety standards, information sharing and evaluations ahead of the November 2024 San Francisco convening.
A governance primer analysing the first wave of AI Safety Institutes (UK, US, Japan), comparing their shared characteristics, core functions of research, standards and cooperation, and challenges.