Public vs physician views of liability for artificial intelligence in health care
- PMID: 33871009
- PMCID: PMC8279784
- DOI: 10.1093/jamia/ocab055
Public vs physician views of liability for artificial intelligence in health care
Abstract
The growing use of artificial intelligence (AI) in health care has raised questions about who should be held liable for medical errors that result from care delivered jointly by physicians and algorithms. In this survey study comparing views of physicians and the U.S. public, we find that the public is significantly more likely to believe that physicians should be held responsible when an error occurs during care delivered with medical AI, though the majority of both physicians and the public hold this view (66.0% vs 57.3%; P = .020). Physicians are more likely than the public to believe that vendors (43.8% vs 32.9%; P = .004) and healthcare organizations should be liable for AI-related medical errors (29.2% vs 22.6%; P = .05). Views of medical liability did not differ by clinical specialty. Among the general public, younger people are more likely to hold nearly all parties liable.
Keywords: Artificial intelligence; medical errors; medical liability; regulatory policy.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association.All rights reserved. For permissions, please email: journals.permissions@oup.com.
Figures

Similar articles
-
When Does Physician Use of AI Increase Liability?J Nucl Med. 2021 Jan;62(1):17-21. doi: 10.2967/jnumed.120.256032. Epub 2020 Sep 25. J Nucl Med. 2021. PMID: 32978285 Free PMC article.
-
Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey.J Med Internet Res. 2021 Dec 13;23(12):e26611. doi: 10.2196/26611. J Med Internet Res. 2021. PMID: 34898454 Free PMC article.
-
The future of artificial intelligence in medicine: Medical-legal considerations for health leaders.Healthc Manage Forum. 2022 May;35(3):185-189. doi: 10.1177/08404704221082069. Epub 2022 Mar 31. Healthc Manage Forum. 2022. PMID: 35354409 Free PMC article.
-
Liability for use of artificial intelligence in medicine.In: Solaiman B, Cohen IG, editors. Research Handbook on Health, AI and the Law. Cheltenham, UK: Edward Elgar Publishing Ltd; 2024 Jul 16. Chapter 9. In: Solaiman B, Cohen IG, editors. Research Handbook on Health, AI and the Law. Cheltenham, UK: Edward Elgar Publishing Ltd; 2024 Jul 16. Chapter 9. PMID: 40245228 Free Books & Documents. Review.
-
Demystifying Medico-legal Challenges of Artificial Intelligence Applications in Molecular Imaging and Therapy.PET Clin. 2022 Jan;17(1):41-49. doi: 10.1016/j.cpet.2021.08.002. PET Clin. 2022. PMID: 34809868 Review.
Cited by
-
Perspectives of Patients About Artificial Intelligence in Health Care.JAMA Netw Open. 2022 May 2;5(5):e2210309. doi: 10.1001/jamanetworkopen.2022.10309. JAMA Netw Open. 2022. PMID: 35507346 Free PMC article.
-
Perceptions and attitudes toward artificial intelligence among frontline physicians and physicians' assistants in Kansas: a cross-sectional survey.JAMIA Open. 2024 Oct 7;7(4):ooae100. doi: 10.1093/jamiaopen/ooae100. eCollection 2024 Dec. JAMIA Open. 2024. PMID: 39386068 Free PMC article.
-
Analysis of public perceptions on the use of artificial intelligence in genomic medicine.Hum Genomics. 2024 Nov 18;18(1):128. doi: 10.1186/s40246-024-00686-6. Hum Genomics. 2024. PMID: 39558426 Free PMC article.
-
Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study.J Med Internet Res. 2025 Feb 3;27:e63377. doi: 10.2196/63377. J Med Internet Res. 2025. PMID: 39899342 Free PMC article.
-
How, for whom, and in what contexts will artificial intelligence be adopted in pathology? A realist interview study.J Am Med Inform Assoc. 2023 Feb 16;30(3):529-538. doi: 10.1093/jamia/ocac254. J Am Med Inform Assoc. 2023. PMID: 36565465 Free PMC article. Review.
References
-
- Wang F, Casalino LP, Khullar D.. Deep learning in medicine—promise, progress, and challenges. JAMA Intern Med 2019; 179 (3): 293–4. - PubMed
-
- Price WN, Gerke S, Cohen IG.. Potential liability for physicians using artificial intelligence. JAMA 2019; 322 (18): 1765–6. - PubMed
-
- Food and Drug Administration. Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD). Discussion Paper and Request for Feedback. 2019. https://www.fda.gov/files/medical%20devices/published/US-FDA-Artificial-.... Accessed October 26, 2020.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources