Exploring the Ethical Implications of Artificial Intelligence in Healthcare
Keywords:
Artificial Intelligence (AI), Healthcare, Ethics, Ethical implications, Data privacy, Bias, Accountability, Transparency, Patient-doctor relationship, Healthcare policyAbstract
The ethical implications of artificial intelligence (AI) in healthcare are examined in this paper, with particular attention paid to data security and privacy, bias in AI algorithms, accountability and transparency, and the effect on patient-doctor relationships. The main goal is recognizing, evaluating, and suggesting solutions for these ethical problems. The study looks at current research, legal frameworks, and practical uses of AI in healthcare using a secondary data-based review process. Important discoveries highlight essential hazards, including skewed treatment suggestions, data breaches, and a decline in patient care's human touch and trust. To reduce these dangers, the study emphasizes the need for sophisticated encryption methods, diverse and representative data practices, and algorithm design that considers fairness. The policy consequences highlight the pressing need for all-encompassing regulatory frameworks, ongoing AI system monitoring and auditing, and interdisciplinary cooperation to create inclusive ethical standards. Healthcare systems can use AI to improve operational efficiency, customize treatment, and increase diagnostic accuracy while maintaining ethical standards and fostering equal healthcare outcomes by proactively addressing these difficulties.
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