Tackling AI's climate change problem

• Verfasst von: Sundberg, Niklas [VerfasserIn]
• Titel: Tackling AI's climate change problem
• Verf.angabe: Niklas Sundberg
• Ausgabe: [First edition].
• Verlagsort: [Cambridge, Massachusetts]
• Verlag: MIT Sloan Management Review
• Jahr: 2023
• Umfang: 1 online resource (6 pages)
• Fussnoten: Reprint #65227, Winter 2024 issue, vol. 65, no. 2. - Includes bibliographical references
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Intelligence artificielle ; Aspect de l'environnement
• K10plus-PPN: 1879405687
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4471883534
• Lokale URL Inst.: Zum Volltext

Abstract

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.