Sustainable AI: Environmental Implications, Challenges and Opportunities

This comprehensive survey examines the environmental impact of artificial intelligence throughout its lifecycle, from development to deployment and maintenance.

The paper provides a systematic analysis of the challenges in making AI more sustainable, including hardware efficiency, algorithm design, and operational practices.

The authors identify key opportunities for reducing AI’s environmental footprint and propose a research agenda for sustainable AI development.