Navigating Liability in Automated Healthcare: Designing Multi-Stakeholder Framework for Responsibility in AI-Powered Health Care Systems

Ndage Kizito Nji
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Ndage Kizito Nji: Department of Philosophy, Faculty of Arts, Letters, Social and Human Sciences (FALSH) The University of Yaoundé I

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 8, 5726-5734

Abstract: Artificial intelligence (AI) is becoming a powerful tool in healthcare, offering faster diagnoses, better treatment planning, and improved patient care. But there is a serious ethical and legal problem: who is responsible if an AI system makes a mistake that harms a patient? Current legal systems were designed for situations where humans make decisions. They don’t work well when responsibility is spread across many people and organizations, and the AI’s decision-making is hidden inside a “black box.†The old model, where the doctor is the only one held responsible, doesn’t fit this new reality. This article argues that responsibility should be shared between three main groups — developers, healthcare providers, and regulators — under a principle called “technological due care†. This means everyone involved must take active steps to prevent harm at every stage of the AI’s life cycle. We will examine the weaknesses of current legal approaches, explain the ethical reasoning for a new system, and present a practical framework for safer AI use in healthcare.

Date: 2025
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