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◆ JMIR Infodemiology2026-04-20· Disinformation

Cross-Sectional Evaluation of Medical Disinformation Safeguards in Consumer-Facing Large Language Model Platforms

Natansh D. Modi, Cyril A. Alex, Abdulhalim A. Awaty, Bradley D. Menz, S. Bacchi, Kacper Gradoń, Jessica M. Logan, Andrew Rowland, Lisa M. Kalisch Ellett, Ross A. McKinnon, Michael D. Wiese, Michael J. Sorich, Ashley M. Hopkins

原始摘要(英文原文)· Original abstract
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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Cross-Sectional Evaluation of Medical Disinformation Safeguards in Consumer-Facing Large Language Model Platforms — 科研速览 Science Skim