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Artificial Intelligence Ethics explores the moral and ethical implications of AI, including issues such as bias, privacy, transparency, fairness, accountability, and safety. It involves interdisciplinary research at the intersection of technology, philosophy, law, and social sciences to ensure that AI is developed and deployed in a responsible and trustworthy manner. This field of study is closely related to machine learning because it seeks to understand and address the ethical challenges arising from advanced algorithms and intelligent systems that can learn, adapt, and make decisions autonomously. By examining the impact of AI on society and individuals, Artificial Intelligence Ethics promotes the development of AI systems that align with human values and aspirations, thereby enhancing their acceptability and long-term sustainability.