Attempts to Keep Humans in the AI Loop May Actually Push Them Out

AI researchers argue that human-in-the-loop safeguards are currently failing because the volume of decisions required for approval leads users to rubber-stamp automated suggestions without oversight. This tendency to reflexively authorize AI actions undermines the intended safety mechanism and effectively removes meaningful human supervision from the process.