Human Oversight of AI Agents Could Fail as Approval Processes Push People Out

Researchers Avijit Ghosh, Margaret Mitchell, and Samir Passi argue in a September 6 arXiv paper that current human-in-the-loop designs for AI agents push humans out of meaningful oversight.

They say agents are tuned for speed, accuracy, and volume, overwhelming reviewers, and recommend adding friction, such as requiring users to state their own choice first, to counter automation bias and fatigue.