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Legal and Ethical Challenges of Artificial Intelligence in Healthcare: Balancing Innovation with Responsibility
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2025
Jahr
Abstract
Artificial intelligence (AI) is transforming healthcare by expediting diagnosis, prediction, and care of patients. The study analyses the ethical issues related to algorithmic bias, transparency, accountability, patient autonomy, and equity in AI-enhanced healthcare. It reviews the legal issues involving data privacy, liabilities, intellectual property rights, and business regulations in jurisdictions like the USA, EU, and India. Case studies of radiological and sepsis prediction, a mental health chatbot, help recognise the implications of ethical concerns. It employs the theoretical lens of bioethics, tort law, and data protection in critically examining the contradictions between innovative and responsible healthcare. Mitigation approaches like explainable AI, global regulatory harmonization, and interdisciplinary governance are suggested to align the use of AI with ethical and legal standards. The findings advocate ethical use of AI for a fairer, safer, and more transparent healthcare.
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