"Don't worry — there's a human in the loop." It's become the reassurance phrase of AI governance. But what if the human in the loop isn't actually doing anything? A 2025 EU Joint Research Centre study of 1,400 professionals found that human reviewers showed no tendency to choose fair AI recommendations over biased ones — and consistently deferred to what they perceived as organizational interests. In this episode, Dr. Marilyn Carroll dismantles the myth of human oversight and replaces it with something more honest: the four conditions required for meaningful oversight, the documented reality of automation bias, and a new standard — not "human-in-the-loop" but "human accountable for the loop." The difference is everything.
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