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Artificial Intelligence for Climate Change Mitigation Roadmap (Second Edition)

Sandalow, David B.; McCormick, Colin; Kucukelbir, Alp; Friedmann, Julio; Nachmany, Michal; Lee, Hoesung; Hill, Alice; Loehr, Daniel; Wald, Matthew; Halff, Antoine M.; Glatt, Ruben; Benoit, Philippe; Karl, Kevin A.; Zhiyuan, Fan; Carter, Maria Frances; Nagrani, Trishna; Ponangi, Rama; Steklac, Ivo; Sweet, Lily-belle; Kruse, Cameron; Turchetta, Matteo; Garland, Sarah; Méndez Leal, Elena; Chandra, Ranveer; Ruane, Alex C.

Can AI help cut emissions of greenhouse gases? This Roadmap explores that question. In this second edition of the Artificial Intelligence for Climate Change Mitigation Roadmap, a team of 25 co-authors builds on last year’s roadmap—comprehensively updating all old chapters, adding six new chapters and offering 5–10 specific, actionable recommendations in each chapter.

Our goal is to provide a useful resource for experts and non-experts alike. In Part I of this Roadmap, we provide brief introductions to both AI and climate change. In Part II, we explore eight sectors in which AI is helping respond to climate change and could do much more. In Part III, we explore cross-cutting issues. We close with findings and recommendations.

This roadmap builds on the body of literature produced annually in connection with the ICEF conference.

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