A Theoretical Review on AI Affordances for Sustainability
Journal
AMCIS 2022 Proceedings
Type
conference paper
Date Issued
2022-08
Author(s)
Abstract
Artificial Intelligence (AI) shows great potential to tackle environmental sustainability issues that are critical to the survival of Humanity and Planet Earth. However, the development and use of AI causes indirect emissions leading to detrimental effects on the environment. Therefore, it is important for organizations, researchers, and practitioners in the Information Systems (IS) domain to understand both the positive and negative effects of AI on the environment. This article contributes to this topic by performing a theoretical review of the literature at the intersection of AI and Sustainability to determine the current research streams. Further, this article adopts the affordance theory as a theoretical lens with the goal to identify the affordances of Sustainable AI – a field that encompasses the research areas ‘AI for Sustainability as well as ‘Sustainability of AI’ – in the Green IS community. The identified affordances would enable researchers and practitioners to design and use Sustainable AI systems.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Publisher
Association for Information Systems (AIS)
Event Title
Americas Conference on Information Systems
Event Location
Minneapolis
Event Date
2022
Subject(s)
Division(s)
Eprints ID
266199
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Name
A Theoretical Review on AI Affordances for Sustainability.pdf
Size
430.12 KB
Format
Adobe PDF
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