AI for a Planet Under Pressure
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arXiv
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| Format: | Preprint |
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2025
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| author | Galaz, Victor Schewenius, Maria Donges, Jonathan F. Fetzer, Ingo Zhivkoplias, Erik Barfuss, Wolfram Delannoy, Louis Wang-Erlandsson, Lan Gelbrecht, Maximilian Heitzig, Jobst Hentati-Sundberg, Jonas Kennedy, Christopher Knecht, Nielja Lotcheris, Romi Mahecha, Miguel Merrie, Andrew Montero, David McPhearson, Timon Mustafa, Ahmed Nyström, Magnus Purves, Drew Rocha, Juan C. Ryo, Masahiro van der Salm, Claudia Segun, Samuel T. Stephenson, Anna B. Tellman, Elizabeth Tobar, Felipe Vadrot, Alice |
| author_facet | Galaz, Victor Schewenius, Maria Donges, Jonathan F. Fetzer, Ingo Zhivkoplias, Erik Barfuss, Wolfram Delannoy, Louis Wang-Erlandsson, Lan Gelbrecht, Maximilian Heitzig, Jobst Hentati-Sundberg, Jonas Kennedy, Christopher Knecht, Nielja Lotcheris, Romi Mahecha, Miguel Merrie, Andrew Montero, David McPhearson, Timon Mustafa, Ahmed Nyström, Magnus Purves, Drew Rocha, Juan C. Ryo, Masahiro van der Salm, Claudia Segun, Samuel T. Stephenson, Anna B. Tellman, Elizabeth Tobar, Felipe Vadrot, Alice |
| contents | Artificial intelligence (AI) is already driving scientific breakthroughs in a variety of research fields, ranging from the life sciences to mathematics. This raises a critical question: can AI be applied both responsibly and effectively to address complex and interconnected sustainability challenges? This report is the result of a collaboration between the Stockholm resilience Centre (Stockholm University), the Potsdam Institute for Climate Impact Research (PIK), and Google DeepMind. Our work explores the potential and limitations of using AI as a research method to help tackle eight broad sustainability challenges. The results build on iterated expert dialogues and assessments, a systematic AI-supported literature overview including over 8,500 academic publications, and expert deep-dives into eight specific issue areas. The report also includes recommendations to sustainability scientists, research funders, the private sector, and philanthropies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_24373 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AI for a Planet Under Pressure Galaz, Victor Schewenius, Maria Donges, Jonathan F. Fetzer, Ingo Zhivkoplias, Erik Barfuss, Wolfram Delannoy, Louis Wang-Erlandsson, Lan Gelbrecht, Maximilian Heitzig, Jobst Hentati-Sundberg, Jonas Kennedy, Christopher Knecht, Nielja Lotcheris, Romi Mahecha, Miguel Merrie, Andrew Montero, David McPhearson, Timon Mustafa, Ahmed Nyström, Magnus Purves, Drew Rocha, Juan C. Ryo, Masahiro van der Salm, Claudia Segun, Samuel T. Stephenson, Anna B. Tellman, Elizabeth Tobar, Felipe Vadrot, Alice Computers and Society Human-Computer Interaction J.4; I.0; H.4; A.0; C.0 Artificial intelligence (AI) is already driving scientific breakthroughs in a variety of research fields, ranging from the life sciences to mathematics. This raises a critical question: can AI be applied both responsibly and effectively to address complex and interconnected sustainability challenges? This report is the result of a collaboration between the Stockholm resilience Centre (Stockholm University), the Potsdam Institute for Climate Impact Research (PIK), and Google DeepMind. Our work explores the potential and limitations of using AI as a research method to help tackle eight broad sustainability challenges. The results build on iterated expert dialogues and assessments, a systematic AI-supported literature overview including over 8,500 academic publications, and expert deep-dives into eight specific issue areas. The report also includes recommendations to sustainability scientists, research funders, the private sector, and philanthropies. |
| title | AI for a Planet Under Pressure |
| topic | Computers and Society Human-Computer Interaction J.4; I.0; H.4; A.0; C.0 |
| url | https://arxiv.org/abs/2510.24373 |