324 KB41 KB201520252025Mrčela, MarinVuletić, Igorštevilka:1letnik:18str. 92-107DOI:10.18690/mls.18.1.93-108.2025ISSN:2463-7955COBISSID_HOST:246825475URN:URN:NBN:SI:doc-QYUEPSOPenslUniversity of Maribor PressMedicine, law & societyaccountabilityAI-assisted medicinecriminalliabilitystandard of careNavigating criminal liability in an era of AI-assisted medicine|This paper explores the interplay between artificial intelligence (AI) and criminal liability within the healthcare sector, particularly in the context of medical malpractice. Adopting a multidisciplinary approach, the study evaluates current legal frameworks and their adequacy in addressing liability for errors involving AI-driven medical systems. Through an analysis of legal theory, case studies, and technological integration, the research highlights the complexities of assigning liability when errors arise from AIassisted medical decision-making. The methodology includes a comparative legal analysis and a detailed examination of a realworld case involving AI-related treatment errors. Findings reveal that while existing legal frameworks are sufficient for holding humans accountable under the standard of care, they struggle with the unique challenges posed by AI's "black-box" nature. The study argues that further refinement of liability models is necessary, especially as AI systems gain greater autonomy. The paper concludes by offering a roadmap for balancing innovation in AI with the imperative to protect patient rights, emphasizing that liability frameworks must evolve in tandem with technological advancementsČlanek obravnava prepletanje umetne inteligence (UI) in kazenske odgovornosti v zdravstvenem sektorju, zlasti v smislu zdravniških napak. Študija z multidisciplinarnim pristopom ocenjuje sedanje pravne okvire in njihovo ustreznost pri obravnavi odgovornosti za napake, ki vključujejo na umetni inteligenci temelječe medicinske sisteme. Skozi analizo pravne teorije, študije primerov in tehnološko integracijo, raziskava izpostavlja kompleksnost določanja odgovornosti pri napakah, ki nastanejo pri medicinskem odločanju s pomočjo UI. Metodologija vključuje primerjalno pravno analizo in podroben pregled dejanskega primera, ki vključuje napake nastale pri zdravljenju z UI. Ugotovitve razkrivajo, da so obstoječi pravni okviri sicer zadostni za uveljavljanje odgovornosti ljudi v skladu s standardom oskrbe, da pa se vendarle spopadajo z edinstvenimi izzivi, ki jih predstavlja „črna škatla“ UI. Študija trdi, da je treba modele odgovornosti še dodatno izpopolniti, zlasti ker sistemi UI pridobivajo vse večjo avtonomijo. Dokument se zaključi s predlogom načrta za uravnoteženje inovacij na področju UI z nujno obveznostjo zaščite pacientovih pravic, pri čemer je poudarjeno, da se morajo okviri odgovornosti razvijati vzporedno s tehnološkim napredkomTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Mariboru, Pravna fakulteta