Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
Tomek Korbak, Mikita Balesni, Elizabeth Barnes, Yoshua Bengio, Joe Benton, Joseph Bloom, … (+35 more) — 2025-07-15 — Anthropic, OpenAI, DeepMind, FAR AI, UC Berkeley, Mila, Center for AI Safety, Redwood Research, Apart Research — arXiv
Summary
Analyzes chain-of-thought monitoring as a safety technique for detecting misbehavior intent in AI systems, arguing it shows promise despite imperfections and fragility, and recommends investment in CoT monitoring research alongside consideration of development decisions that preserve CoT monitorability.
Source
- Link: https://arxiv.org/abs/2507.11473
- Listed in the Shallow Review of Technical AI Safety 2025 under 1 agenda(s):
- chain-of-thought-monitoring — Black-box safety (understand and control current model behaviour) / Iterative alignment