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This chapter explores the critical issues of AI safety and fairness, focusing on the risks, ethical considerations, and challenges of developing responsible AI systems. It begins with analyzing potential AI risks, emphasizing the need for transparency, accountability, and trustworthiness. The chapter then delves into AI alignment with human values and machine ethics, introducing the four key principles (RICE) that serve as a foundation for ethical AI development. Additionally, it examines bias and fairness in AI, discussing the sources of bias, their impact on decision-making, and strategies to mitigate unfair outcomes.

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AI Safety and Fairness

  • 章节

  • 发表日期：

    2025年

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  • Dilli Prasad Sharma,
  • Arash Habibi Lashkari,
  • Mahdi Daghmehchi Firoozjaei,
  • Samaneh Mahdavifar,
  • Pulei Xiong

摘要

This chapter explores the critical issues of AI safety and fairness, focusing on the risks, ethical considerations, and challenges of developing responsible AI systems. It begins with analyzing potential AI risks, emphasizing the need for transparency, accountability, and trustworthiness. The chapter then delves into AI alignment with human values and machine ethics, introducing the four key principles (RICE) that serve as a foundation for ethical AI development. Additionally, it examines bias and fairness in AI, discussing the sources of bias, their impact on decision-making, and strategies to mitigate unfair outcomes.