Morning Edition · Wednesday, October 14, 2026Published at 2:06 AM EDT · New York
The study of 1,222 participants, presented at the Conference on Language Modeling, found that people who asked for direct answers lost the most accuracy, while those who asked for hints did not show the same decline.

Researchers led by Brian Christian, a research fellow at UC Berkeley's Center for Human-Compatible AI, ran three randomized controlled trials with 1,222 online participants. The co-authors are from Carnegie Mellon, MIT, Oxford and UCLA, and…
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Measured Cognitive Costs of AI Assistance
Randomized evidence on how AI assistance changes human persistence and skill will keep accumulating, pushing education buyers, regulators and employers toward interaction designs that favor guidance over direct answers.
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