Ethics of AI in Decision-Making: Striking a Balance Between Progress and Responsibility
Keywords:
AI ethics, fairness in AI, transparency, accountability, bias in AI, privacy, autonomy, responsible AI, ethical decision-making, AI governance.Abstract
Artificial Intelligence (AI) is transforming various sectors, from healthcare and finance to the criminal justice system, by enabling faster and more data-driven decision-making. However, these advancements raise critical ethical concerns. Can we trust AI to make fair and accountable decisions that impact human lives, rights, and futures? This paper examines the ethical challenges of AI-driven decision-making, focusing on issues such as bias, transparency, accountability, privacy, and autonomy. It explores how AI systems can reinforce societal inequalities, operate with limited human oversight, and lack clear explanations for their decisions. Additionally, the paper discusses strategies for developing ethical, responsible, and fair AI systems that align with human values and societal expectations. Ensuring AI serves the greater good requires a balanced approach that integrates fairness, explainability, and accountability into its design and deployment.
DOI: https://doi.org/10.24321/3117.4841.202501
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