The Limits of Human Oversight in the Age of AI Agents | Data & Society

AI agents have begun to move from speculative promise into everyday deployment. They translate high-level goals into plans and carry them out across connected digital environments. Agent builders often promise that users will remain in control through approval prompts and pause buttons. Yet these safeguards work only when users can recognize a mistake and intervene before its consequences cascade. Drawing on fieldwork in a computational biology laboratory, Data & Society’s primer The Oversight Fallacy examines what effective oversight of AI Agents requires in practice.

The primer’s authors, Ranjit Singh and Samir Passi, will join Margaret Mitchell, chief ethics scientist at Hugging Face, and Madeleine Claire Elish, head of evaluations, responsible development, and innovation at Google Deepmind, to discuss why putting a human in the loop is insufficient and what builders and deployers must do to make oversight meaningful.

Click here to learn more and register to attend virtually.