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Artificial Intelligence (AI), and Machine Learning (ML) have been quickly transforming industries by improving decision-making, operational efficiency, and also innovation. Nevertheless, they also provide a considerable ethical dilemma, especially for prejudice, equity, and also openness. The absence for transparency within AI systems, which frequently operate like “black boxes,” which intensifies these issues, complicating the understanding of their decision-making processes. This study examines the present condition of the AI ethics, concentrating on the methods to reduce prejudice, and also improve justice within AI systems. The study seeks to establish the complete framework for the integration for ethical practices into AI, and ML technologies, which providing practical ways to develop transparent, equitable, and also accountable AI systems.

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Investigating the Ethical Implications of AI, and ML, Particularly Within the Areas Such as Bias, Fairness, and Transparency

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  • 发表日期：

    2026年

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  • Hamed Fawareh,
  • Yacoub Mohamed Saleh

摘要

Artificial Intelligence (AI), and Machine Learning (ML) have been quickly transforming industries by improving decision-making, operational efficiency, and also innovation. Nevertheless, they also provide a considerable ethical dilemma, especially for prejudice, equity, and also openness. The absence for transparency within AI systems, which frequently operate like “black boxes,” which intensifies these issues, complicating the understanding of their decision-making processes. This study examines the present condition of the AI ethics, concentrating on the methods to reduce prejudice, and also improve justice within AI systems. The study seeks to establish the complete framework for the integration for ethical practices into AI, and ML technologies, which providing practical ways to develop transparent, equitable, and also accountable AI systems.