The unexpected harms of artificial intelligence in healthcare: reflections on four real-world cases

Kerstin Denecke, Guillermo Lopez-Campos, Octavio Rivera-Romero, Elia Gabarron

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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Abstract

INTRODUCTION: Rapid advances in Artificial Intelligence (AI), especially with large language models, present both opportunities and challenges in healthcare. This article analyzes real-world AI-related harms in healthcare.

METHODS: We selected four recent AI-related incidents from the AIAAIC Repository.

RESULTS: The incidents discussed include: Whisper's harmful hallucinations; UNOS's algorithm delaying transplants for black patients; the WHO's S.A.R.A.H. chatbot providing inaccurate health information; and Character AI's chatbot promoting disordered eating among teens.

DISCUSSION AND CONCLUSION: These incidents highlight diverse risks, from misinformation to safety concerns, involving both industry and institutional providers. The article emphasizes the need for systematic reporting of AI-related harms, concerns about security, privacy, and ethics, and calls for a centralized health-specific database to enhance patient safety and understanding.

Original languageEnglish
Title of host publicationRedefining healthcare delivery in the digital era
EditorsThomas Bürkle
PublisherIOS Press
Pages55-60
Number of pages6
Volume325
ISBN (Electronic)9781643685939
DOIs
Publication statusPublished - 02 May 2025

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
ISSN (Print)0926-9630

Keywords

  • Humans
  • Artificial Intelligence
  • Medical Informatics Computing

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