The rapid advancement of Artificial Intelligence (AI) technologies has introduced transformative possibilities across sectors such as healthcare, finance, transportation, and education. However, the widespread deployment of AI systems also presents a range of ethical challenges, including algorithmic bias, data privacy concerns, lack of transparency, accountability issues, and the potential for job displacement. This article explores the core ethical dilemmas associated with AI adoption and provides a critical analysis of existing frameworks and policy measures aimed at addressing them. The study further examines practical solutions such as explainable AI (XAI), fairness-aware algorithms, regulatory oversight, and inclusive data practices. By integrating interdisciplinary perspectives from technology, law, and ethics, this paper aims to guide researchers, developers, and policymakers in fostering responsible and equitable AI deployment.
Naripeddy et al. (Mon,) studied this question.
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