Episode

From Hindsight Bias to Machine Bias: Dr. Laura Zwaan on Learning from Mistakes

Podcast
NEJM AI Grand Rounds
Published
Nov 19, 2025
Duration seconds
2289
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not_requested
Canonical source
https://ai-podcast.nejm.org/e/from-hindsight-bias-to-machine-bias-dr-laura-zwaan-on-learning-from-mistakes/
Audio
https://mcdn.podbean.com/mf/web/gyyn6wz4g4j6vws4/Episode_36_Zwaan.mp3
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/v1/public/podcasts/nejm-ai-grand-rounds-5875765/episodes/from-hindsight-bias-to-machine-bias-dr-laura-zwaan-on-learning-from-mistakes
Markdown
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Summary

As a cognitive psychologist, Dr. Laura Zwaan studies how humans make—and learn from—mistakes. In this episode of NEJM AI Grand Rounds, she brings that lens to AI, showing how machines inherit our biases and why both need transparency and reflection. From the challenge of defining diagnostic error to the promise of “machine psychology,” Dr. Zwaan explores how human reasoning can inform safer algorithms and better care. Her message is clear: the path to trustworthy AI begins with understanding ourselves. Transcript.