ARTIFICIAL INTELLIGENCE ETHICS
Artificial Intelligence (AI) has become an integral part of modern society, influencing decision-making, healthcare, finance, education, and numerous other domains. While AI offers transformative benefits, it raises critical ethical concerns, including privacy, bias, accountability, and transpare
Artificial Intelligence (AI) has become an integral part of modern society, influencing decision-making, healthcare, finance, education, and numerous other domains. While AI offers transformative benefits, it raises critical ethical concerns, including privacy, bias, accountability, and transparency. This study examines the principles, challenges, and frameworks of AI ethics, emphasizing the need for responsible design, deployment, and governance. Through a review of contemporary literature, case studies, and regulatory approaches, the research highlights the importance of aligning AI systems with human values, societal norms, and legal standards. The findings suggest that ethical AI requires multidisciplinary collaboration, transparency in algorithmic decision-making, and robust regulatory mechanisms to mitigate risks and promote trust in AI technologies.
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