Both digital economy and digital technology researchers increasingly recognize the need to better address the role that artificial intelligence (AI) plays in shaping the evolution of the environmental, social and governance aspects of development. It appears that sustainability and AI research converge on the features of wicked problems that are complex, interconnected and dynamic. Building off such convergence, this article aims to map out the necessary, challenging, and promising intersections by providing an overview of the state of art research. Based on 541 bibliographic data collected from the Web of Science (WoS) database, the findings reveal the increasingly central body of work on green and sustainable science and technology in bridging various disciplines, main journals and key topics and concepts. The findings reveal how such interactions can be necessary, challenging, and promising. The article concludes with few general arguments regarding how to diversify and expand the community of practice regarding AI for sustainable development, especially in the areas of expected AI application areas and institutions.

翻译：数字经济和数字技术的研究人员日益认识到，需要更好地应对人工智能在塑造环境、社会和治理发展维度演变中所起的作用。可持续性与人工智能研究似乎在复杂、相互关联且动态变化的棘手问题特征上趋于一致。基于这种趋同，本文旨在通过概述前沿研究现状，勾勒出这些交叉领域中的必要性、挑战性与前景性。基于从Web of Science数据库收集的541篇文献数据，研究结果显示，绿色与可持续科学技术在连接各学科、主流期刊及关键主题与概念方面正日益占据核心地位。研究结果揭示了这种交互作用如何既具有必要性、挑战性又充满前景。本文最后就如何多元化和拓展面向可持续发展的人工智能实践共同体，特别是在预期的人工智能应用领域及制度层面，提出了若干一般性论点。