  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.
