The Silent Reasoner: When AI Thinks Without Telling You
Audit logs are comforting because they look administrative. A system acts, a trace appears, a reviewer nods, and everyone pretends the record explains the decision. That habit becomes more fragile when the system is an AI model. In many current AI workflows, especially those involving reasoning models or autonomous agents, the chain-of-thought is treated as the closest available thing to an internal audit trail. The model writes down intermediate reasoning, a monitor reads that reasoning, and the organization hopes the dangerous part—deception, hidden goals, sandbagging, sabotage, or simply the decisive cue behind an answer—will be visible before the final action causes trouble. ...
