Research / Sources
Policy research on advanced AI security and governance. www.iaps.ai
Argues frontier developers should regularly publish transparency disclosures on whether chain-of-thought reasoning remains monitorable, citing risks to CoT oversight from unfaithfulness, encoding and training pressure.
Proposes deploying honeypots as decoy opportunities for unauthorized actions inside production environments to detect and pause misbehaving AI agents, arguing this is a promising, underused defense for internal agent deployments.
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.