ArticleAI & society2023
The AI gambit: leveraging artificial intelligence to combat climate change-opportunities, challenges, and recommendations.
Article in AI & society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 400 citations in OpenAlex.
- Concerns of Using Large Language Models in Health Care Research and Practice: Umbrella Review.Journal of medical Internet research · 2026Pooled it
- A Call to Address the Generative AI-Environment Paradox in Graduate Medical Education.Journal of graduate medical education · 2026Article
- Evaluating the impact of artificial intelligence development on urban resilience: Evidence from Chinese cities.iScience · 2026Article
- Article
- Enhanced hydrophilic properties and performance evaluation of PVDF-TiORSC advances · 2026Article
- Greening public health: embedding environmental sustainability in research and practice.Frontiers in public health · 2026Article
- The ethics in sustainable AI: a scoping literature review on normativity in the academic discourse on the environmental sustainability of AI.AI & society · 2026Review
- Investigation of road transport-based greenhouse gas prediction models and the use of ıntelligent transportation systems for emission reduction.Scientific reports · 2025Article
- The impact of climate change on vulnerable populations in pediatrics: opportunities for AI, digital health, and beyond-a scoping review and selected case studies.Pediatric research · 2025Article
- Human-AI collectives most accurately diagnose clinical vignettes.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Toward Safe and Ethical Implementation of Health Care Artificial Intelligence: Insights From an Academic Medical Center.Mayo Clinic proceedings. Digital health · 2025Review
- Supporting Trustworthy AI Through Machine Unlearning.Science and engineering ethics · 2024Article
- The Environmental Costs of Artificial Intelligence for Healthcare.Asian bioethics review · 2024Article
- AI and climate resilience governance.iScience · 2024Review
- Artificial intelligence and sustainable development during the pandemic: An overview of the scientific debates.Heliyon · 2024Article
- Fostering Convergence: Strategies for Designing a Graduate Training Program at the Intersection of Environmental Engineering and Computational Sciences.Environmental science & technology · 2024Article
- The carbon emissions of writing and illustrating are lower for AI than for humans.Scientific reports · 2024Article
- Review
- Ecology & computer audition: Applications of audio technology to monitor organisms and environment.Heliyon · 2024Review
- Behind the good of digital tools for occupational safety and health: a scoping review of ethical issues surrounding the use of the internet of things.Frontiers in public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and the contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI's greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based, and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combatting climate change, while reducing its impact on the environment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.