AI researchers from OpenAI, Google DeepMind, Anthropic, and various companies advocate for examining monitoring techniques for AI reasoning models' thought processes. These models use chains-of-thought (CoTs), which mimic human problem-solving methods. The researchers suggest that CoT monitoring is crucial for maintaining control over AI systems as they evolve. They urge developers to enhance the transparency of CoTs and caution that interventions could compromise their reliability. The position paper emphasizes the need for tracking CoT monitorability to establish it as a safety measure.
CoT monitoring presents a valuable addition to safety measures for frontier AI, offering a rare glimpse into how AI agents make decisions. Yet, there is no guarantee that the current degree of visibility will persist.
The position paper asks leading AI model developers to study what makes CoTs "monitorable" - in other words, what factors can increase or decrease transparency into how AI models really arrive at answers.
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