Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
AI systems that “think” in human language offer a unique opportunity for AI safety: we can monitor their chains of thought (CoT) for the intent to misbehave. Like all other known AI oversight methods, CoT monitoring is imperfect and allows some misbehavior to go unnoticed. Nevertheless, it shows promise and we recommend further research into CoT monitorability and investment in CoT monitoring alongside existing safety methods. Because CoT monitorability may be fragile, we recommend that frontier model developers consider the impact of development decisions on CoT monitorability.
Focus: Methods or Design
Source: arXiv
Readability: Expert
Type: Website Article
Open Source: Yes
External URL: https://arxiv.org/abs/2507.11473v1
Keywords: N/A
Learn Tags: AI and Machine Learning Design/Methods Ethics Trust
Summary: A new paper explores AI chains of thought (CoT) as an avenue for AI safety.