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Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results

arXiv — cs.LG•Wednesday, November 5, 2025 at 5:00:00 AM
NeutralArtificial Intelligence
Recent research highlights the challenges faced by medical chatbots, particularly regarding biases and errors in their responses. While these systems are designed to provide consistent medical advice, factors like demographic information can impact their performance. This study aims to explore the conditions under which these chatbots may fail, emphasizing the need for improved infrastructure to address these issues.
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