ETHICAL CONSIDERATIONS IN ARTIFICIAL INTELLIGENCE: CHALLENGES, RISKS, AND RESPONSIBLE DEVELOPMENT
DOI:
https://doi.org/10.5281/zenodo.20073075Keywords:
Artificial Intelligence, AI Ethics, Responsible AI, Algorithmic Bias, Data Privacy, Explainable AI, AccountabilityAbstract
Artificial Intelligence (AI) has rapidly transformed various sectors including healthcare, education, finance, transportation, and governance. While AI technologies provide significant benefits such as automation, improved decision-making, and enhanced efficiency, they also raise critical ethical concerns. This paper reviews major ethical issues in AI, including algorithmic bias, privacy violations, lack of transparency, accountability challenges, and societal impacts such as job displacement and misinformation. The study also examines responsible AI development, explainable AI, governance frameworks, and ethical auditing practices. Furthermore, recent developments in generative AI and regulatory approaches are discussed to highlight emerging ethical challenges. The paper emphasizes the importance of integrating fairness, accountability, transparency, and human-centered values into AI systems to ensure responsible and sustainable technological development.
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Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.
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