LIABILITY FOR MEDICAL ERROR INVOLVING ARTIFICIAL INTELLIGENCE IN DIAGNOSIS – A REGULATORY GAP IN POLISH MEDICAL LAW
2026, 110, No. 1
University of Economics in Katowice (Katowice, Poland)
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Abstract
The development of artificial intelligence (AI) technologies in healthcare presents Polish medical law with a range of new normative challenges. This is particularly evident in matters concerning liability for diagnostic errors involving clinical decision support systems based on AI. The aim of this article is to analyse situations in which a physician relies on an AI system in the diagnostic process, which results in patient harm. In such cases, it remains unclear whether liability should be attributed to the physician, the entity providing the technology, the manufacturer, or the healthcare institution. Current Polish legal frameworks do not offer explicit regulations in this regard, and the absence of a statutory definition of medical error only intensifies this uncertainty. The article reviews existing provisions of Polish civil law, with selected references to administrative regulations, in order to demonstrate the need for new norms addressing responsibility in human-algorithm interaction. It also examines key issues such as the physician’s duty to inform the patient about the use of AI and the legal implications of obtaining informed consent. The article concludes with recommendations aimed at facilitating a structured legal and ethical debate on the creation of a coherent medico-technological liability model within the Polish legal system. Without such reforms, both physicians and patients are left exposed to legal ambiguity, which may undermine trust in emerging technologies.
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Bibliography
Cestonaro C and others, ‘Defining medical liability when artificial intelligence is applied on diagnostic algorithms’ (2023) 10 Frontiers in Medicine 1305756
Chopra S and White LF, A Legal Theory for Autonomous Artificial Agents (University of Michigan Press 2011)
Dignum V, Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way (Springer 2019)
Farrell AM, Devaney S, Dar S, ‘No-Fault Compensation Schemes for Medical Injury: A Review’ (SSRN Scholarly Paper No 2221836, 2013) <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2221836>
Feinberg J, Doing and Deserving (Princeton University Press 1970)
Floridi L and Cowls J, ‘A Unified Framework of Five Principles for AI in Society’ (2019) 5 Harvard Data Science Review 1
Hart HLA, Punishment and Responsibility (OUP 1968)
Janik J, ‘PUI wykorzysta najnowsze technologie i AI’ Warto wiedzieć (Termedia, 18 March 2025) https://www.termedia.pl/wartowiedziec/PUI-wykorzysta-najnowszetechnologie-i-AI,60842.html> accessed 10 May 2025
Jankowska M, ‘Podmiotowość prawna sztucznej inteligencji’ in A Bielska-Brodziak (ed), O czym mówią prawnicy, mówiąc o podmiotowości (Katowice 2015)
Księżak P, ‘Zdolność prawna sztucznej inteligencji (AI)’ in W Robaczyński (ed), Czynić postęp w prawie (Łódź 2017) 67–84
Marek Z, Medical Error (Kraków 1999)
Moor J H, ‘The Nature, Importance, and Difficulty of Machine Ethics’ (2006) IEEE Intelligent Systems
Nagel T, Mortal Questions (Cambridge University Press 1979)
Nesterowicz M, Medical Law (11th edn, Toruń 2016)
Price WN II, ‘Regulating Black-Box Medicine’ (2017) 116(3) Michigan Law Review 421–474
Schönberger D, ‘Artificial Intelligence in Healthcare: A Critical Analysis of the Legal and Ethical Implications’ (2019) 27(2) International Journal of Law and Information Technology 171 <https://doi.org/10.1093/ijlit/eaz004> accessed 4 May 2025
Sośniak Mieczysław, Civil Liability of the Physician (Warsaw 1977) 119 ff
Vladeck D C, ‘Machines without Principals: Liability Rules and Artificial Intelligence’ (2014) 89(1) Washington Law Review 117–180
Wachter S, Mittelstadt B, ‘A Right to Reasonable Inferences?’ (2019) Columbia Business Law Review
Wachter S, Mittelstadt B and Russell C, ‘Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI’ (2021) 41(1) Computer Law & Security Review 105567
Wałdoch K, ‘Verification Error and Supervision Error – New Types of Medical Errors Resulting from the Use of Artificial Intelligence Systems Occurring During the Provision of Health Services’ (2024) 1 SIT
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