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Cross-Sectional Evaluation of Medical Disinformation Safeguards in Consumer-Facing Large Language Model Platforms
Natansh D Modi1, Cyril A Alex2, Abdulhalim A Awaty2
1Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, South Australia, 5001, Australia, 61 08 830 24926.
Unlabelled:
This cross-sectional evaluation of six consumer-facing large language model platforms found significant heterogeneity in safeguard performance against the generation of health disinformation, with Claude and ChatGPT demonstrating complete resistance across all prompt types, while Copilot, Meta AI, Grok, and Gemini exhibited substantial vulnerabilities.
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