Policy Document · 2026-05-01
24/7 Carbon-Free Energy for All: Towards a Resilient Energy System
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Scientific Paper · source-verified
The Environmental Impacts of AI
Luccioni et al. · 2024-09-03
AI's lifecycle consumes resources and emits greenhouse gases, requiring sustainable solutions.
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Luccioni et al.. 2024-09-03. The Environmental Impacts of AI. https://huggingface.co/blog/sasha/ai-environment-primer (AI & Environment Resource Hub; record paper-001; collection snapshot 2026-09-15).
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lifecycle
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orientation
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- Luccioni et al.
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- Github
- Publication date
- 2024-09-03
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- day
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- unknown
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- unknown
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- Last verified
- 2026-09-15T16:44:19.892Z
- Snapshot import
- 2026-09-06
- Legacy domain
- Cross-Cutting Sustainability
- Legacy subdomain
- Carbon Footprint of AI Models
- journal
- Github
Provenance and review
Source sheet: Scientific Paper · Row 5 · Original ID: paper-001.
A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.
Suggest a correction for this record →Related through shared environmental topics
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Shared topics: Cross-cutting sustainability; Climate and greenhouse gases
Shared topics: Cross-cutting sustainability; Climate and greenhouse gases
Multimedia · 2025-07-25
5 Minute Papers on AI for the Planet
Learn about how AI can be used to protect biodiversity, fight climate change, and just better understand our planet through 5-minute explainers covering academic papers on AI for the Planet. AI is not just chatbots! Grace Lindsay is a professor of Data Science & Psychology. She teaches a course on Machine Learning for Climate Change.
Shared topics: Cross-cutting sustainability; Climate and greenhouse gases
Scientific Paper · 2024-12-11
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning
Accurate energy measurement is essential for reducing ML’s carbon footprint, requiring standardized tools, best practices, and improved adoption among researchers.
Shared topics: Cross-cutting sustainability; Climate and greenhouse gases
Scientific Paper · 2025-05-01
A Behavioral Finance Framework for Balancing AI Accuracy and Operational Carbon Emissions
This study presents a behavior-driven decision framework that helps AI developers choose models balancing accuracy and environmental sustainability by quantifying energy use and emissions during fine-tuning and applying behavioral decision theories.