Scientific Paper · 2024-09-03
The Environmental Impacts of AI
AI's lifecycle consumes resources and emits greenhouse gases, requiring sustainable solutions.
ENVIRONMENTAL TOPIC
Climate and greenhouse gases
Greenhouse gas emissions, carbon accounting, mitigation, and climate systems.
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Research papers and scholarly literature on impacts, applications, and methods.
Scientific Paper · 2024-10-15
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Generative AI models consume significantly more energy and emit more carbon than task-specific models, raising concerns about their environmental impact.
Scientific Paper · 2024-03-27
The Climate and Sustainability Implications of Generative AI
The unchecked growth of generative AI increases energy demand and environmental impact, requiring a sustainability-focused approach beyond efficiency improvements.
Scientific Paper · 2025-03-26
Making AI Less “Thirsty”: Uncovering and Addressing the Secret Water Footprint of AI Models
AI models have a significant yet overlooked water footprint, requiring transparency and holistic sustainability efforts alongside carbon reduction.
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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.