ARTIFICIAL INTELLIGENCE AND ETHICAL PROBLEMS IN HEALTHCARE
Keywords:
Artificial Intelligence, Healthcare Ethics, Data Privacy, Algorithmic Bias, Accountability, Medical AI, Ethical Frameworks, Patient AutonomyAbstract
This article explores the multifaceted ethical challenges arising from the increasing integration of Artificial Intelligence (AI) into healthcare systems. It examines critical issues such as data privacy, algorithmic bias, accountability for medical errors, and the erosion of human empathy in patient care. The paper discusses the need for robust regulatory frameworks, transparent AI development, and interdisciplinary collaboration to ensure AI technologies are deployed responsibly and ethically. Ultimately, it advocates for a human-centered approach to AI implementation that prioritizes patient well-being, autonomy, and trust while harnessing AI's transformative potential.
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