Understanding Chain-of-Thought Monitorability in AI Systems
What is Chain-of-Thought Monitorability? Chain-of-thought monitorability means checking how well we can watch and understand the step-by-step thinking of an AI system. When AI solves a problem, it often uses many small steps. Monitorability helps us see if these steps are clear and correct. Why is Monitorability Important? Monitorability helps people trust AI. If we can follow the AI's thoughts, we can find mistakes early. This is important for safety and good results in many areas like medicine, education, and business. How Do We Measure Monitorability? Researchers use a special framework to test monitorability. This framework has 13 tests. These tests cover 24 different situations where AI tries to solve problems. The tests check three main things: Intervention: Can we change the AI's steps and see what happens? Process: Can we watch how the AI thinks during the task? Outcome-property: Can we tell if the final answer is good by looking at the steps? Checklist fo...