Artificial Intelligence for Climate Change Mitigation Roadmap (Second Edition)

Technical Report · Fri Nov 01 00:00:00 EDT 2024

DOI:https://doi.org/10.2172/2497385· OSTI ID:2497385

Glatt, Ruben ^[1]; Sandalow, David ^[2]; McCormick, Colin ^[3]; Kucukelbir, Alp ^[4]; Friedmann, Julio ^[5]; Nachmany, Michael ^[6]; Lee, Hoesung ^[7]; Hill, Alice ^[8]; Wald, Matthew ^[9]; Karl, Kevin ^[10]; Loehr, Daniel ^[11]; Halff, Antoine ^[12]; Benoit, Philippe ^[13]; Zhiyuan, Fan ^[2]; Nagrani, Trishna ^[14]; Steklac, Ivo ^[15]; Carter, Mariah Frances ^[16]; Ponangi, Rama ^[2]; Ruane, Alex C. ^[17]; Sweet, Lily-belle ^[18] ; Kruse, Cameron ^[19]; Turchetta, Matteo ^[20]; Garland, Sarah ^[21]; Méndez Leal, Elena ^[2]; Chandra, Ranveer ^[22]

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1. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
2. Columbia Univ., New York, NY (United States)
3. Georgetown Univ., Washington, DC (United States); Carbon Direct, New York, NY (United States)
4. Columbia Univ., New York, NY (United States); Fero Labs, Düsseldorf (Germany)
5. Carbon Direct, New York, NY (United States)
6. Climate Policy Radar, London (United Kingdom); London School of Economics (United Kingdom)
7. Carbon-Free Alliance, Seoul (Korea, Republic of)
8. Council on Foreign Relations, Washington, DC (United States)
9. Breakthrough Institute, Berkeley, CA (United States)
10. Columbia Univ., New York, NY (United States); NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
11. Georgetown Univ., Washington, DC (United States)
12. Columbia Univ., New York, NY (United States); Kayrros, Paris (France)
13. Global Infrastructure Advisory Services 2050, Washington, DC (United States)
14. Climeworks (Hong Kong)
15. ConnectDER, Philadelphia, PA (United States)
16. Lumora Technologies, Socorro, NM (United States)
17. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
18. Helmholtz Centre for Environmental Research, Leipzig (Germany)
19. Earth Genome, San Francisco, CA (United States)
20. Kora Labs, Zurich (Switzerland)
21. Triple Helix Institute, Menlo Park, CA (United States)
22. Microsoft Corporation, Redmond, WA (United States)

The first ICEF Artificial Intelligence for Climate Change Mitigation Roadmap was released in December 2023. Since that time, attention to artificial intelligence (AI) has continued to grow at a rapid pace. Tens of billions of dollars have poured into AI projects, policymakers around the world have considered new AI policies, and OpenAI reports that each month more than 200 million people now use ChatGPT. Signs of a changing climate continue to grow as well. Based on global average temperatures, July 22, 2024 was the warmest day ever recorded; 2023 was the warmest year ever recorded; and the 10 warmest years on record are the past 10 years. Yet global emissions of greenhouse gases continue to climb. 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 crosscutting issues. We close with findings and recommendations.

• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC52-07NA27344
• OSTI ID: 2497385
• Report Number(s): LLNL--TR-2001734
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
97 MATHEMATICS AND COMPUTING
Environmental sciences