Forewarning Artificial Intelligence about Cognitive Biases

Artificial intelligence models display human-like cognitive biases when generating medical recommendations. We tested whether an explicit forewarning, "Please keep in mind cognitive biases and other pitfalls of reasoning," might mitigate biases in OpenAI's generative pretrained transformer large language model. We used 10 clinically nuanced cases to test specific biases with and without a forewarning. Responses from the forewarning group were 50% longer and discussed cognitive biases more than 100 times more frequently compared with responses from the control group. Despite these differences, the forewarning decreased overall bias by only 6.9%, and no bias was extinguished completely. These findings highlight the need for clinician vigilance when interpreting generated responses that might appear seemingly thoughtful and deliberate.HighlightsArtificial intelligence models can be warned to avoid racial and gender bias.Forewarning artificial intelligence models to avoid cognitive biases does not adequately mitigate multiple pitfalls of reasoning.Critical reasoning remains an important clinical skill for practicing physicians.

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Publication Details

Journal
Medical Decision Making
Published
2025-06-24
DOI
https://doi.org/10.1177/0272989x251346788
Citations
5
Primary Topic
Healthcare cost, quality, practices
Type
article
Field-Weighted Citation Impact
14.08

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article

Forewarning Artificial Intelligence about Cognitive Biases

Donald A. Redelmeier, Jonathan Wang
5 citations
Medical Decision Making
Healthcare cost, quality, practices
14.08
article

Forewarning Artificial Intelligence about Cognitive Biases

Donald A. Redelmeier, Jonathan Wang
article en
5 citations

Abstract

Artificial intelligence models display human-like cognitive biases when generating medical recommendations. We tested whether an explicit forewarning, "Please keep in mind cognitive biases and other pitfalls of reasoning," might mitigate biases in OpenAI's generative pretrained transformer large language model. We used 10 clinically nuanced cases to test specific biases with and without a forewarning. Responses from the forewarning group were 50% longer and discussed cognitive biases more than 100 times more frequently compared with responses from the control group. Despite these differences, the forewarning decreased overall bias by only 6.9%, and no bias was extinguished completely. These findings highlight the need for clinician vigilance when interpreting generated responses that might appear seemingly thoughtful and deliberate.HighlightsArtificial intelligence models can be warned to avoid racial and gender bias.Forewarning artificial intelligence models to avoid cognitive biases does not adequately mitigate multiple pitfalls of reasoning.Critical reasoning remains an important clinical skill for practicing physicians.

Medical Decision MakingVol. 45(7)
Sunnybrook Health Science Centre (CA), University of Toronto (CA), Health Sciences Centre (CA), Institute for Clinical Evaluative Sciences (CA), Sunnybrook Research Institute
Canada Research Chairs
Gender equality
Openalex Percentile: Top 1%
Healthcare cost, quality, practices
14.08
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Forewarning Artificial Intelligence about Cognitive Biases — Donald A. Redelmeier, Jonathan Wang · Medical Decision Making (2025) | TGRS Research Map | TGRS