Advancing Green Artificial Intelligence: Strategies for a Sustainable Future

dc.contributor.authorFarooq Ahmad, Shweta Dwivedi, Zohaib Hasan Khan, Nupur Mittal
dc.date.accessioned2026-04-24T09:16:07Z
dc.date.issued2025
dc.descriptionEnergy Efficient Algorithms and Green Data Centers for Sustainable Computing P.J. Beslin Pajila (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), Belfin Robinson Vimala (University of North Carolina, USA), Y. Harold Robinson (Francis Xavier Engineering College, India), and C. Gopala Krishnan (GITAM University, India)
dc.description.abstractGreen artificial intelligence (AI) is designed to be more eco-friendly and accessible compared to traditional AI. It delivers precise results without the added computational costs and allows researchers with just a laptop to conduct high-quality work without the need for expensive cloud servers. This chapter explores green AI as a crucial method for improving the environmental sustainability of AI systems. It covers AI solutions that promote eco-friendly practices in various fields (referred to as “green-by AI”), methods for developing energy-efficient machine learning (ML) algorithms and models (known as “green-in AI”), and tools for accurately measuring and optimizing energy usage. The chapter also looks at how regulations can support green AI and discusses future directions for sustainable ML. It highlights the need to integrate environmental considerations into AI practices to promote a more eco-conscious and energy-efficient future for AI technologies.
dc.identifier.isbn9798337307664
dc.identifier.uri10.4018/979-8-3373-0766-4.ch012
dc.identifier.urihttp://136.232.12.194:4000/handle/123456789/1776
dc.language.isoen_US
dc.publisherIGI Global
dc.subjectTECHNOLOGY::Information technology::Computer science::Computer science
dc.titleAdvancing Green Artificial Intelligence: Strategies for a Sustainable Future
dc.typeBook chapter

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