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.

翻译：过去十年间，以深度学习模型为基础的人工智能技术取得了重大进展，并被部署到包括安全关键应用在内的多样化场景中。随着这些人工智能系统深度融入社会基础设施，其决策与行动的影响具有重大后果，使得AI部署的伦理问题变得高度相关且至关重要。与AI相关的伦理关切具有多面性，涵盖公平性、隐私与数据保护、责任与问责制、安全性与鲁棒性、透明性与可解释性以及环境影响等具有挑战性的议题。这些原则共同构成了伦理AI的基础，涉及AI系统生命周期中的所有利益相关者。鉴于当前的伦理关切与未来的生存风险，各国政府愈发重视制定AI伦理部署的指导方针。本研究统一了当前及未来将AI部署于社会中所面临的伦理关切。尽管我们认可并重视针对各项伦理原则的技术性综述，但本文旨在提供一份综合性的概述，不仅从技术角度探讨每项原则，还从社会视角进行讨论。