A study published in Clinical Imaging showed that ChatGPT models, GPT-3.5 and GPT-4, simplified radiology reports differently based on the inquirer’s race. Researchers from Yale asked the models to simplify reports using different racial prompts and found statistically significant differences in the reading grade level of the output. This unexpected bias highlights the importance of vigilance in ensuring that large language models (LLMs) do not provide biased or harmful information in the medical field. The study’s authors emphasized the need for the medical community to address these issues. The use of ChatGPT in healthcare is increasing, but experts warn about the challenges of overcoming bias in AI.
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Study: Yale researchers reveal ChatGPT shows racial bias
