Home
Magna Scientia Advanced Research and Reviews
Peer-Reviewed • ISSN: 2582-9394 • Fast-Track Publishing • Impact Factor 8.5 • Low Publication Charges • Crossref DOI Linking

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

Research and review articles are invited for publication in September - October 2026 (Volume 18, Issue 1) Submit manuscript

AI Hallucinations as a Form of Harm: An Analysis under WHO Guidance on Ethics and Governance of Artificial Intelligence for Health

Breadcrumb

  • Home
  • AI Hallucinations as a Form of Harm: An Analysis under WHO Guidance on Ethics and Governance of Artificial Intelligence for Health

Mariam Mosidze 1, *, Nino Chikhladze 1, Tinatin Gogichadze 2 and Saba Mosidze 2

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.

Review Article
Magna Scientia Advanced Research and Reviews, 2026, 16(02), 186-189
Article DOI: 10.30574/msarr.2026.16.2.0051
DOI url: https://doi.org/10.30574/msarr.2026.16.2.0051

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 

https://msarr.magnascientiapub.com/sites/default/files/fulltext_pdf/MSARR-2026-…

Preview Article PDF

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.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 Magna Scientia Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution