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

arXiv:2606.09006v1 Announce Type: cross 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.

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.

This is an author preprint version. For the final authenticated version of record, please use the official publication via the IEEE Xplore database. DOI: https://doi.org/10.1109/MSIEID52046.2020.00076

Social and Information Networks (cs.SI); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Emerging Technologies (cs.ET)

J.2; K.4; I.2.0; H.5; J.4

arXiv:2606.09006 [cs.SI]

(or arXiv:2606.09006v1 [cs.SI] for this version)

https://doi.org/10.48550/arXiv.2606.09006 arXiv-issued DOI via DataCite (pending registration)

2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID), Guangzhou, China, 2020, pp. 360-363

https://doi.org/10.1109/MSIEID52046.2020.00076 DOI(s) linking to related resources

From: Han-Teng Liao Dr. [view email] [v1] Mon, 8 Jun 2026 04:09:01 UTC (377 KB)

aiqbench analysis

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

Related coverage