Ethical and Regulatory Considerations in AI-Driven Healthcare

Abstract

Artificial Intelligence (AI) is revolutionizing clinical practice by providing previously unheard-of capabilities in patient monitoring, diagnosis, treatment personalization, and healthcare system optimization. Even though artificial intelligence (AI) promises to improve accuracy, efficiency, and scalability, its quick adoption also brings with it difficult moral, legal, and social issues. Using a critical lens based on medical ethics, legal frameworks, and practical implications, this chapter examines the dual reality of AI-driven healthcare—its transformative potential and its associated risks. In the context of algorithmic decision-making, fundamental ethical concepts like beneficence, autonomy, justice, and transparency are reviewed. Data bias, health disparities, patient consent, data privacy, clinical deskilling, and accountability in the case of AI system failures are among the urgent issues covered in this chapter. It assesses new ethical frameworks from international organizations and medical institutions and offers a comparative overview of regulatory environments across the globe. The chapter highlights the importance of collaborative, multidisciplinary approaches to ensure AI remains a tool for equitable and human-centered care by highlighting the roles of key stakeholders, including developers, healthcare professionals, regulators, and patients. In order to integrate technological innovation with the ethical underpinnings of healthcare, it concludes with recommendations for the future that include adaptive regulation, ethical design practices, and ongoing vigilance. This chapter is a call to action as well as a guide for using AI responsibly for the benefit of humankind and health.

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