Greening Data Management for AI

Posted May 23, 2022 | Sustainability | Technology | Amplify
Rohit Nishant and Thompson S.H. Teo discuss how to limit the negative impacts of artificial intelligence (AI) adoption by using concepts from both regenerative and doughnut economics. These two approaches seek to reconstruct economic systems so they operate within the sustainable operating limits of natural systems. Pointing out that AI adoption threatens to exceed sustainable boundaries by increasing aggregate demand for energy and new materials, Nishant and Teo put forth a 3Rs framework with which AI adopters can keep the impacts of AI within sustainable boundaries.
About The Author
Rohit Nishant
Rohit Nishant is Associate Professor in the Department of Management Information Systems at Université Laval, Canada, and a Cutter Expert. His research has been published/accepted in several international journals, including MIS Quarterly, MIS Quarterly Executive, Journal of the Association for Information Systems, Journal of Strategic Information Systems, Information Systems Journal, Decision Sciences, and IEEE Transactions on Engineering… Read More
Thompson S.H. Teo
Thompson S.H. Teo is Professor in the Department of Analytics and Operations at National University of Singapore Business School. His research interests include the adoption of IT, strategic IT planning, electronic government, knowledge management, and sustainability. Dr. Teo has published more than 250 papers in international journals and conferences. He has served as Senior Associate Editor for European Journal of Information Systems, Regional… Read More
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