Journal ArticleOpen Access
Towards sustainable AI: a comprehensive framework for Green AI
Authors
Author Affiliations
King Fahd University of Petroleum and Minerals, University of Maryland, Baltimore County, United International University, Khulna University of Engineering and Technology, ...
Published InDiscover Sustainability
Year2024
Citations72
Abstract
The rapid advancement of artificial intelligence (AI) has brought significant benefits across various domains, yet it has also led to increased energy consumption and environmental impact. This paper positions Green AI as a crucial direction for future research and development. It proposes a comprehensive framework for understanding, implementing, and advancing sustainable AI practices. We provide an overview of Green AI, highlighting its significance and current state regarding AI’s energy consumption and environmental impact. The paper explores sustainable AI techniques, such as model optimization methods, and the development of efficient algorithms. Additionally, we review energy-efficient hardware alternatives like tensor processing units (TPUs) and field-programmable gate arrays (FPGAs), and discuss strategies for designing and operating energy-efficient data centers. Case studies in natural…
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