Human-Guided Harm Recovery for Computer Use Agents

This research formalizes "harm recovery" for AI agents executing actions on computer systems, addressing the challenge of optimally steering an agent from a harmful to a safe state. It grounds preference-aligned recovery through a user study and operationalizes insights into a reward model for evaluating recovery plans.