About this episode

Dr. Laura Zwaan discusses how human biases affect AI and the importance of transparency in creating trustworthy algorithms.

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.

People in this episode

Host: NEJM AI Grand Rounds

Guest: Dr. Laura Zwaan

Topics covered

• cognitive psychology
• AI bias
• machine learning
• diagnostic error
• human reasoning
• trustworthy AI

Mentioned in this episode

Organizations: NEJM Group

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