Abstract
The integration of technologies such as artificial intelligence, electronic health records, and automated diagnostic systems has significantly altered clinical practice. While these tools enhance efficiency and diagnostic accuracy, they have also introduced new forms of medical error, raising complex questions about responsibility. This article examines the ethical dimensions of accountability in technology-induced harm by evaluating the roles of healthcare providers, technology developers, and hospital systems. Drawing on the four pillars of medical ethics; autonomy, beneficence, non-maleficence, and justice, it explores the overlapping responsibilities of each stakeholder and the challenges that arise when harm occurs. Through analysis of the Therac-25 radiation overdoses and algorithmic bias in AI mammography, the discussion illustrates the limitations of attributing blame to a single actor. Instead, it argues for a shared accountability model that emphasises collaboration, transparent design, comprehensive training, and institutional oversight. As healthcare technologies continue to evolve, so too must ethical frameworks for accountability. A collective approach is essential to ensure patient safety, reduce disparities, and maintain trust in technology-driven healthcare.
