Type of Publication: Article in Collected Edition

Achieving Sustainability with Artificial Intelligence - A Survey of Information Systems Research

Author(s):

Schoormann, Thorsten; Strobel, Gero; Möller, Frederik; Petrik, Dimitri

Editor:

AiS

Title of Anthology:

Proceedings of the 42nd International Conference on Information Systems (ICIS)

Location(s):

Austin, Texas

Publication Date:

2021

Keywords:

Sustainable Development, Artificial Intelligence, Information Systems

Link to complete version:

https://aisel.aisnet.org/icis2021/soc_impact/soc_impact/2

Citation:

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Abstract

Understanding the role of Artificial Intelligence (AI) is crucial to contribute to sustainable development including the most fundamental challenges of our society, such as climate change, healthy lives, and inclusive economic growth. As Information Systems (IS) research has a great tradition of investigating how technology and methods can be employed to foster sustainability, this study follows widely accepted expectations that AI will boost this. Against this backdrop, the present study aims at revealing how and what purposes IS researchers use AI for sustainability. Based on a literature corpus of 95 articles, promising research in diverse fields has been found that underlines the great potential of IS in achieving economic, ecological, and social sustainability. In doing so, this study complements recent research streams on AI and sustainability from a IS perspective by providing a comprehensive overview of themes, topics, and clusters addressed within IS literature and discussing future avenues for research.