The Environmental Impacts of AI
AI's lifecycle consumes resources and emits greenhouse gases, requiring sustainable solutions.
AI & Environment Resource HubEnvironmental sustainability or sustainable computing spanning multiple environmental systems, without assuming a specific impact.
Browse all 849 resources →Counts reflect provisional metadata classification, not measured environmental impact. A record may belong to multiple topics.
Share of the 849 records in this view. Pathways can overlap; bars do not add to 100%.
Research papers and scholarly literature on impacts, applications, and methods.
AI's lifecycle consumes resources and emits greenhouse gases, requiring sustainable solutions.
The unchecked growth of generative AI increases energy demand and environmental impact, requiring a sustainability-focused approach beyond efficiency improvements.
Generative AI contributes to growing e-waste, but circular economy strategies could significantly reduce its environmental impact.
A neural network model identifies undocumented orphaned wells, helping locate methane-leaking sites and aiding environmental monitoring efforts.
Missing metadata is a curation task, not evidence of absent research or activity. The Resource Hub does not currently contain a validated incident dataset, expert survey, or measurements of net environmental benefit.