AI research tackling real-world problems
Read the latest peer-reviewed research on AI and climate change
A rtificial intelligence (AI) is either an existential threat or the best tool in our arsenal to save the world, depending on whom you speak with.
It can also be both.
A 2025 Pew Research poll says that 50% of Americans, for example, are "more concerned than excited about the increased use of AI in daily life, up from 37% in 2021." "Will AI take over the world?" has become a popular search on Google.
Scientists, too, put forth AI as one of their most urgent concerns. Earlier this year, the Bulletin of the Atomic Scientists' Science and Security Board (SASB), set its "Doomsday Clock" to 85 seconds to midnight, calling for "urgent action to limit nuclear arsenals, create international guidelines on the use of AI, and form multilateral agreements to address global biological threats."
The research group AI Futures Project have also created a doomsday scenario, which they call AI2027.
But it's not all doom-and-gloom. As the AI Future Project's Thomas Larsen explained to the BBC, "smarter-than-human AIs, that are aligned to us (can) end up solving the world's problems, and (have) a really positive effect."
Executive Secretary of the United Nations Framework Convention on Climate Change (UNFCCC) Simon Stiell explained to The Guardian last year:
"AI is not a ready-made solution, and it carries risks. But it can also be a game-changer. So we now need to blunt its dangerous edges, sharpen its catalytic ones, and put it astutely to work."
So ... can AI "fix" climate change?
If we're looking for problems for AI to fix, climate change is a good candidate. It's widely acknowledged as a "threat multiplier," intensifying environmental degradation, food and water insecurity, and exacerbating poverty, disease, and global conflict.
In the U.S., a record-high 48% of adults anticipate global warming will pose a serious threat to themselves or their way of life. In that same country, one of the top Google searches on AI is related to environmental concerns about its production – "how much water does AI use." (A lot, it turns out.)
What does the research say?
AI is moving fast, and it's difficult for anything to keep up, from regulatory and legal frameworks to govern it, to documentation on its use. The Association for Competitive Technology puts the adoption speed (of generative AI) in context: "It took nearly five years for the internet ... and a full 12 years for personal computers to achieve comparable penetration."
Taylor & Francis has over 300 journals that focus on AI or incorporate AI methods in various fields, and a growing list of more than 1,800 books that cover the latest developments, applications, and implications of AI across disciplines.
We did a deep dive into Taylor & Francis research published in the past five years to uncover the latest information on how the global issue of climate change has been addressed with the use of AI.
This research was primarily focused on one of four areas:
- Health care
- Food production
- AI and society
- AI used for climate change mitigation
We highlight eight articles below, and link to hundreds more. With a diversity of topics from crop production to debunking conspiracy theories, we invite you to learn about the brilliant people and the incredible work they're doing to unearth AI's unprecedented influence and impact on our world.
1. Reducing climate change impacts on health
Climate change, its impact on emerging infectious diseases and new technologies to combat the challenge
by Hongyan Lao, Christopher J. Lyon, Binwu Ying, and Tony Hu in Emerging Microbes and Infections
In this open access article, the authors discuss how climate change has increased the risk of emerging infectious diseases (EIDs). They describe novel approaches, including using AI for improving surveillance of emerging pathogens, measures used to contain or reduce the risk of future outbreaks, and methods of tracking EIDs to limit disease transmission.
Artificial intelligence in the area of planetary health: insights on its application for the climate change-mental health nexus in the Phillipines
by Rowalt C. Alibudbud, John Jamir Benzon R. Aruta, Kevin Anthony Sizon, and Renzo R. Guinto in International Review of Psychiatry
This study explores the promise of AI in the light of the climate crisis and its emerging mental health impacts, in the context of a particularly climate-vulnerable country.
2. Climate change and food production
Harnessing artificial intelligence and remote-sensing in climate smart architecture: the current strategies needed for enhancing global food security
by Gideon Sadikiel Mmbando in Cogent Food and Agriculture
This open access article shows how the application of AI and RS (remote sensing) technologies can improve agricultural adaptability, productivity, and sustainability.
Leveraging climate resilience through AI chatbot farming adoption among rural Zimbabwean women
by Forbes Makudza, Phillip Dangaiso, Simbarashe Muparangi, Edmore Matisi, Nyasha Makiwa, and Godfrey Makandwa
in Cogent Social Sciences
This open access paper explores AI integration and acceptance in communal agricultural practices as a lever for improving climate change resilience among rural women in Zimbabwe.
3. The intersection of AI, climate change, and society
Addressing climate change in the age of artificial intelligence: three registers of human rights struggles
by Barrie Sander in Transnational Legal Theory
This open access article "identifies the risks and burdens of designing, developing, and deploying AI technologies to combat climate change, and critically reflects on the different ways in which human rights law (HRL) may be mobilised to address such challenges."
The future of conspiracy theory scholarship
by Inga Trauthig, Zelly Martin, Alice Marwick, and Samuel Woolley in Journal of Information Technology and Politics
What drives someone to believe in conspiracy theories, and what might be done to mitigate the continued spread of conspiracy theories across the world? This article gives readers an overview of the topic and introduces a special issue, "The Future of Conspiracy Theory Scholarship."
4. Mitigating the impact of climate change on the natural world
UAV-assisted seeding and monitoring of reforestation sites: a review
by I. Stamatopolous, T.C. Le, and F. Daver in Australian Forestry
This open access paper promotes the use of uncrewed autonomous vehicles (UAVs) to help with reforestation efforts in remote areas, reporting on current use of UAVs and discussing benefits, challenges, and future trends. Half of all Australian forest cover has been cleared or degraded; tree clearing has caused an increase in bushfire prevalence and severity due to climate change. Reforestation would have benefits such as: increasing biodiversity, helping to absorb carbon, and reducing erosion and flooding.
The future of global land change monitoring
by Xiao Peng Song in International Journal of Digital Earth
This open access paper gives a brief history of global land cover and change mapping, discusses recent progress, and offers insights on its future. Land change monitoring plays a vital role in addressing a wide range of contemporary global challenges, from impacts of natural disasters to measuring carbon sequestration potential.
China
Africa