With ubiquitous exposure of AI systems today, we believe AI development requires crucial considerations to be deemed trustworthy. While the potential of AI systems is bountiful, though, is still unknown-as are their risks. In this work, we offer a brief, high-level overview of societal impacts of AI systems. To do so, we highlight the requirement of multi-disciplinary governance and convergence throughout its lifecycle via critical systemic examinations (e.g., energy consumption), and later discuss induced effects on the environment (i.e., carbon footprint) and its users (i.e., social development). In particular, we consider these impacts from a multi-disciplinary perspective: computer science, sociology, environmental science, and so on to discuss its inter-connected societal risks and inability to simultaneously satisfy aspects of well-being. Therefore, we accentuate the necessity of holistically addressing pressing concerns of AI systems from a socioethical impact assessment perspective to explicate its harmful societal effects to truly enable humanity-centered Trustworthy AI.

翻译：随着当今AI系统的广泛普及，我们认为AI开发需要经过关键考量才能被视为值得信赖。尽管AI系统潜力巨大，但其风险仍属未知。本文从高层次简要概述AI系统的社会影响。为此，我们通过系统性批判审视（如能源消耗），强调跨学科治理与融合贯穿其生命周期的必要性，并后续讨论其对环境（即碳足迹）及用户（即社会发展）的诱发效应。具体而言，我们从计算机科学、社会学、环境科学等多学科视角考量这些影响，探讨其相互关联的社会风险以及无法同时满足福祉各层面的困境。因此，我们强调必须从社会伦理影响评估角度整体应对AI系统的紧迫问题，通过揭示其有害社会影响，真正实现以人类为中心的可信AI。