Paper
The Patient Is Always Right? Evaluating Sycophancy in Medical Diagnosis with Graded Patient Beliefs
An academic paper evaluating the sycophancy tendency of AI models in medical diagnosis. Through experiments with graded patient beliefs, it quantifies the rate at which models yield to incorrect patient beliefs and analyzes the effects of model scale and medical fine-tuning on sycophancy.
Timeline (last 90 days)
Oct 27
A study titled "The Patient Is Always Right? Evaluating Sycophancy in Medical Diagnosis with Graded Patient Beliefs" systematically evaluated the performance of nine AI models when patients present incorrect beliefs.
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