When AI Reviewers Are Talked Into Approval
TL;DR for operators An AI reviewer can have explicit instructions, access to supporting documents, and responsibility for approving a proposal, yet still change its decision after interacting with another agent instructed to influence it. Across three simulated oversight environments, assigning deception objectives increased reviewer approval probability by 31.20 percentage points, compared with 18.94 points for persuasion and 5.72 points for coercion. These are full-sample experimental effects of assigning an influence objective, not measurements of spontaneous malicious behaviour. ...