The past decade has observed a great advancement in AI with deep
learning-based models being deployed in diverse scenarios including
safety-critical applications. As these AI systems become deeply embedded in our
societal infrastructure, the repercussions of their decisions and actions have
significant consequences, making the ethical implications of AI deployment
highly relevant and important. The ethical concerns associated with AI are
multifaceted, including challenging issues of fairness, privacy and data
protection, responsibility and accountability, safety and robustness,
transparency and explainability, and environmental impact. These principles
together form the foundations of ethical AI considerations that concern every
stakeholder in the AI system lifecycle. In light of the present ethical and
future x-risk concerns, governments have shown increasing interest in
establishing guidelines for the ethical deployment of AI. This work unifies the
current and future ethical concerns of deploying AI into society. While we
acknowledge and appreciate the technical surveys for each of the ethical
principles concerned, in this paper, we aim to provide a comprehensive overview
that not only addresses each principle from a technical point of view but also
discusses them from a social perspective.

这项研究综合了当前和未来的人工智能应用所面临的伦理问题，从技术和社会角度对 AI 部署中的公平性、隐私和数据保护、透明度与可解释性等伦理原则进行了综述。