Authors: Thomas Le Goff

Published on: January 04, 2024

Impact Score: 8.35

Arxiv code: Arxiv:2402.01646

Summary

• What is new: Proposes pragmatic recommendations for public action towards sustainable generative AI, focusing on achieving carbon neutrality.
• Why this is important: The considerable environmental footprint of generative AI in terms of CO2 emissions and water consumption.
• What the research proposes: Twelve recommendations for public action including building a strategy for carbon-neutral AI, encouraging international cooperation, and optimizing the energy performance of data centers.
• Results: A comprehensive analysis of the environmental footprint of AI and actionable steps towards mitigating it, though specific outcomes of these recommendations remain to be seen.

Technical Details

Technological frameworks used: nan

Models used: Large language models

Data used: nan

Potential Impact

Tech companies developing AI, particularly those in the data center, cloud computing, and AI research sectors.

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