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Feedback can change how people check AI advice

In a study of 244 people, feedback after an AI override changed how people thought through their next choice. It did not improve overall team results.

Source: arXiv · Oct 14, 2026Read original source
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Models & Capabilities

An AI test can mark a good answer wrong

A preprint checked 16 AI test resources. None accounted for the needs of the people meant to use the results. In one paired test, a change in answer wording sharply cut exact-match scores.

arXiv · Oct 15, 2026
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Models & Capabilities

Lab safety needs more than written rules, essay argues

Zvi Mowshowitz argues that AI labs need safety expertise, backup checks and the will to slow a release. His claims about specific labs were not independently checked here.

Don't Worry About the Vase · Oct 14, 2026
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Models & Capabilities

Nurse scheduling AI showed uncertainty people could misread

In an expert test of a nurse-scheduling tool, people often misread a sign of uncertainty and felt less sure of their choice. Liked explanations did not clearly change confidence or advice use.

arXiv · Oct 13, 2026
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Research & Science

The real test may come after AI steps away

A preprint reviews four cases of human work with AI. It asks whether people keep their own skill and judgment after using a tool. Later effects differed across the cases.

arXiv · Oct 13, 2026
Beyond PromptingRead story
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