Scientific Paper · 2019-06-05
Energy and Policy Considerations for Deep Learning in NLP
Training large neural networks improves NLP accuracy but requires significant computational resources, leading to high financial and environmental costs.
ENVIRONMENTAL TOPIC
Governance and society
Governance, accountability, equity, finance, and social context relevant to the collection; not necessarily an environmental impact study.
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Scientific Paper · 2020-01-13
Artificial Intelligence in Achieving Sustainable Development Goals
AI can support sustainable development but also poses risks, requiring regulation to ensure transparency, safety, and ethical standards.
Scientific Paper · 2024-02-05
The Green Mirage: Impact of Location- and Market-Based Carbon Intensity Estimation on Carbon Optimization Efficacy
Organizations are reducing electricity-related carbon emissions by adjusting energy use based on carbon intensity data and securing renewable energy through power purchase agreements.
Scientific Paper · 2024-12-09
Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers
AI's growing energy demand worsens air quality, imposing significant public health costs, especially on disadvantaged communities, necessitating better reporting and mitigation strategies.
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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.