Pitfalls of large language models in medical ethics reasoning

Large language models (LLMs), such as ChatGPT-o1, display subtle blind spots in complex reasoning tasks. We illustrate these pitfalls with lateral thinking puzzles and medical ethics scenarios. Our observations indicate that patterns in training data may contribute to cognitive biases, limiting the...

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Bibliographic Details
Main Authors: Shelly Soffer, Vera Sorin, Girish N. Nadkarni, Eyal Klang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01792-y
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