Ethical Considerations in AI-Driven Decision-Making: A Systematic Review
Abstract
As AI-powered decision-making becomes increasingly prevalent in domains such as finance, healthcare, and governance, ethical concerns regarding bias, accountability, and transparency have emerged. This paper reviews existing literature on ethical AI frameworks, fairness-aware ML algorithms, and regulatory guidelines to mitigate biases and ensure responsible AI deployment. We analyze case studies of ethical AI failures and discuss strategies for designing equitable and socially beneficial AI systems.
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