Ethical Limits of AI in Decision-Making: Beyond Bias – Autonomy vs Control

This research paper, “Ethical Limits of AI in Decision-Making: Beyond Bias - Autonomy vs Control,” examines the expanding role of Artificial Intelligence in critical sectors and the ethical challenges that arise as machines take on more autonomous decision making responsibilities. Moving beyond common concerns like bias and fairness, the study explores deeper issues such as accountability, transparency, and the preservation of human values, highlighting the risks of over reliance on AI, including reduced human judgment and ethical disengagement. Through real world applications in areas like healthcare, finance, and law enforcement, the paper demonstrates both the benefits and limitations of AI systems, emphasizing that while they enhance efficiency and accuracy, they cannot replace human empathy and moral reasoning. It ultimately advocates for a balanced, hybrid approach where AI supports rather than replaces human decision-making, reinforced by strong ethical frameworks and regulatory oversight to ensure responsible and trustworthy use of technology.