Farooq Ahmad, Shweta Dwivedi, Zohaib Hasan Khan, Nupur Mittal2026-04-242025979833730766410.4018/979-8-3373-0766-4.ch012http://136.232.12.194:4000/handle/123456789/1776Energy 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)Green 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.en-USTECHNOLOGY::Information technology::Computer science::Computer scienceBook chapter