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.

AI 系统的可信发展需要多学科治理，通过关键的系统检查（如能源消耗）来全面审查其生命周期中的社会影响，以及从计算机科学、社会学、环境科学等多学科角度讨论其互相关联的社会风险和无法同时满足健康的方面，从社会伦理影响评估的角度强调了全面解决 AI 系统紧迫问题的必要性，以揭示其对社会的有害影响，真正实现以人为中心的可信 AI。