Tackling AI's climate change problem
Artificial intelligence models require large quantities of specialized hardware, data, and energy to be trained and run, all of which produce carbon emissions and e-waste. These large hidden environmental costs require solutions that can harness AI’s potential while mitigating its climate impact. Th...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Cambridge, Massachusetts] :
MIT Sloan Management Review
2023.
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| Edición: | [First edition] |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825859406719 |
| Sumario: | Artificial intelligence models require large quantities of specialized hardware, data, and energy to be trained and run, all of which produce carbon emissions and e-waste. These large hidden environmental costs require solutions that can harness AI’s potential while mitigating its climate impact. This article outlines steps that AI leaders can take to make the technology more sustainable. |
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| Notas: | Reprint #65227, Winter 2024 issue, vol. 65, no. 2. |
| Descripción Física: | 1 online resource (6 pages) |
