Correspondence : ChatGPT: tackle the growing carbon footprint of generative AI

Jiafu AN; Wenzhi DING; Chen LIN

doi:10.1038/d41586-023-00843-2

Correspondence : ChatGPT: tackle the growing carbon footprint of generative AI

Jiafu AN, Wenzhi DING, Chen LIN

Lingnan University

Research output: Other Publications › Other Article › Communication

20 Citations (Scopus)

Abstract

Microsoft, Google and Meta are investing billions of dollars in generative artificial intelligence (AI) such as the large language model ChatGPT, released by OpenAI in San Francisco, California. But the features that make these models so much more powerful than their predecessors also impose a much heavier toll on the environment. We propose a framework for more sustainable development of generative AI.

Original language	English
Pages	586
Number of pages	1
Volume	615
No.	7953
Specialist publication	Nature
DOIs	https://doi.org/10.1038/d41586-023-00843-2
Publication status	Published - 23 Mar 2023

Keywords

Energy
Machine learning
Renewable energy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/d41586-023-00843-2

Cite this

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abstract = "Microsoft, Google and Meta are investing billions of dollars in generative artificial intelligence (AI) such as the large language model ChatGPT, released by OpenAI in San Francisco, California. But the features that make these models so much more powerful than their predecessors also impose a much heavier toll on the environment. We propose a framework for more sustainable development of generative AI.",

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KW - Renewable energy

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Correspondence : ChatGPT: tackle the growing carbon footprint of generative AI

Abstract

Keywords

UN SDGs

Access to Document

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