As artificial intelligence continues its unprecedented global expansion, accompanied by a proliferation of benefits, an increasing apprehension about the privacy and security implications of AI-enabled systems emerges. The pivotal question of effectively controlling AI development at both jurisdictional and organizational levels has become a prominent theme in contemporary discourse. While the European Parliament and Council have taken a decisive step by reaching a political agreement on the EU AI Act, the first comprehensive AI law, organizations still find it challenging to adapt to the fast-evolving AI landscape, lacking a universal tool for evaluating the privacy and security dimensions of their AI models and systems. In response to this critical challenge, this study conducts a systematic literature review spanning the years 2020 to 2023, with a primary focus on establishing a unified definition of key concepts in AI Ethics, particularly emphasizing the domains of privacy and security. Through the synthesis of knowledge extracted from the SLR, this study presents a conceptual framework tailored for privacy- and security-aware AI systems. This framework is designed to assist diverse stakeholders, including organizations, academic institutions, and governmental bodies, in both the development and critical assessment of AI systems. Essentially, the proposed framework serves as a guide for ethical decision-making, fostering an environment wherein AI is developed and utilized with a strong commitment to ethical principles. In addition, the study unravels the key issues and challenges surrounding the privacy and security dimensions, delineating promising avenues for future research, thereby contributing to the ongoing dialogue on the globalization and democratization of AI ethics.

翻译：随着人工智能在全球范围内以前所未有的速度扩张，带来了诸多益处的同时，人们对人工智能系统涉及的隐私与安全问题日益担忧。如何在司法和组织两个层面有效控制人工智能发展已成为当代讨论的突出议题。尽管欧洲议会和理事会通过达成政治协议迈出了决定性一步，推出了首部综合性人工智能法案《欧盟人工智能法案》，但各组织仍难以适应快速演进的人工智能格局，缺乏评估其AI模型与系统隐私和安全维度的通用工具。为应对这一关键挑战，本研究开展了系统文献综述，覆盖2020至2023年间的文献，主要目标是建立人工智能伦理关键概念的统一定义，特别强调隐私和安全领域。通过综合系统文献综述提炼的知识，本研究提出了一种专为隐私与安全感知AI系统设计的概念框架。该框架旨在协助包括组织、学术机构及政府机构在内的多元利益相关者，进行AI系统的开发与严格评估。本质上，该框架作为伦理决策的指南，营造在坚守伦理原则下开发与运用人工智能的环境。此外，本研究揭示了隐私与安全维度的关键问题与挑战，勾勒出有前景的未来研究方向，从而为全球化和民主化人工智能伦理的持续对话做出贡献。