🤖 AI Summary
As AI becomes increasingly embedded in safety-critical domains, its ethical risks have grown markedly. This paper systematically reviews six core ethical principles—fairness, privacy preservation, accountability, security and robustness, transparency and explainability, and environmental impact—and proposes the first integrative AI ethics review framework that bridges technical governance and socio-technical systems analysis. Through comprehensive literature synthesis, interdisciplinary theoretical integration, and comparative analysis of national AI policy documents, the study transcends a purely technical lens to develop a socio-technical analytical matrix spanning the AI lifecycle and addressing diverse stakeholders. The work unifies prevailing ethical concerns in AI societal deployment and delivers a theoretically grounded, value-sensitive, and practically actionable foundation for governance. It offers an original paradigm for global AI ethics governance, advancing both conceptual coherence and implementation readiness. (149 words)
📝 Abstract
The past decade has observed a significant 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 essential. 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.
