Sustainability and Artificial Intelligence: Necessary, Challenging, and Promising Intersections

June 08, 2026 ยท Grace Period ยท ๐Ÿ› 2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID), Guangzhou, China, 2020, pp. 360-363

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Authors Han-Teng Liao, Zijia Wang arXiv ID 2606.09006 Category cs.SI: Social & Info Networks Cross-listed cs.AI, cs.CY, cs.ET Citations 0 Venue 2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID), Guangzhou, China, 2020, pp. 360-363
Abstract
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.
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