1 Department of Public Health, Faculty of Medicine, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia.
2 Department of Medical Biology and Parasitology, Tbilisi State Medical University, Tbilisi, Georgia.
Received on 27 February 2026; revised on 05 April 2026; accepted on 08 April 2026
Generative artificial intelligence systems, including large language models (LLMs), are increasingly used in health-related contexts. A documented feature of these systems is the production of hallucinations, outputs that are factually incorrect, fabricated, or misleading. While the World Health Organization (WHO) has described hallucinations as a "risk and challenge," this paper argues that under the WHO’s ethical framework, certain health-related hallucinations should be understood as forms of harm. Drawing on WHO Principle 5.2, requiring protection from mental and physical harm, this paper examines how health-related hallucinations generate psychological distress, enable harmful decision-making, and undermine patient trust. The reclassification of hallucinations from risk to harm carries significance for the regulatory obligations of AI developers, deployers, and policymakers.
Artificial Intelligence in Healthcare; AI Hallucinations; Health Misinformation; WHO Ethics and Governance Framework; Digital Health Regulation; Patient Safety
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Mariam Mosidze, Nino Chikhladze, Tinatin Gogichadze and Saba Mosidze. AI Hallucinations as a Form of Harm: An Analysis under WHO Guidance on Ethics and Governance of Artificial Intelligence for Health. Magna Scientia Advanced Research and Reviews, 2026, 16(02), 186-189. Article DOI: https://doi.org/10.30574/msarr.2026.16.2.0051.