Artificial Intelligence: Legal and Ethical Perspectives in the Health Care Sector

Abstract

In this study, the researchers aim to establish how Artificial Intelligence (AI) has revolutionized the health care industry and the ethical and legal issues pertaining to the use of such technology in this organization. The study provides recommendations for implementing value-adding measures to ensure the safe, secure, and ethical use of AI in healthcare, as well as addressing important concerns and providing solutions to effectively implement AI. Using a quantitative research design, the study uses primary and secondary data to critically analyze relevant literature and existing information. It highlights key challenges that come about because of the current boundaries of regulating AI in healthcare, including but not limited to informed consent, transparency, privacy, data protection, and fairness. The study is fundamentally important to the theory and practice of the implementation of AI technologies, as it illustrates the high potential of using them in the sphere of patient care and, at the same time, cites significant ethical and legal issues in their application. To fully achieve the rightly hailed benefits of AI in health care, we must address these issues. To use the AI components responsibly, rules and regulations of ethical and legal standards must change to accommodate key concerns such as consent, ownership, disclosure, and bias. These measures are critically important to centralize patient rights protection and build confidence in health care organizations. Consequently, this study offers practical policy implications that policymakers, healthcare practitioners, and technologists should consider when implementing regulatory policies. Thus, on one hand, such frameworks allow bringing innovation into the field of healthcare by AI while, on the other hand, maintaining compliance to guarantee that such solutions will be both effective and fair.

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