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  Practical implementation of artificial intelligence for climate change mitigation in cities – priorities, collaborations and challenges

Hintz, M. J., Gross, M., Creutzig, F., Kaack, L. H. (2026): Practical implementation of artificial intelligence for climate change mitigation in cities – priorities, collaborations and challenges. - Energy Research and Social Science, 131, 104498.
https://doi.org/10.1016/j.erss.2025.104498

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 Creators:
Hintz, Marie Josefine1, Author           
Gross, Milena2, Author
Creutzig, Felix1, Author                 
Kaack, Lynn H.2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2External Organizations, ou_persistent22              

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Free keywords: Artificial intelligence, City administrations, Climate change, Governance, Implementation, AI-for-climate, Urban
 Abstract: European cities are increasingly exploring artificial intelligence (AI) applications to achieve their climate goals. Yet, how European city administrations implement AI-for-climate projects remains unclear. To address this gap, we interviewed city staff and urban innovation experts (n=15 interviewees) from Amsterdam, Berlin, Copenhagen, Greater Paris, Helsinki, and Vienna about their motivations, challenges, solutions, and partnerships when deploying AI tools. We found that city administrations were driven by different priorities that extend beyond accelerating climate action, such as improving decision-making, providing better services to residents, reducing costs, and showcasing innovation. We also identified implementation challenges for city administrations, for instance, socio-technical interoperability with existing systems or increasing AI literacy among city staff who work on climate action. We characterized three implementation arrangements through which cities deployed AI, highlighting the plural roles of city administrations in shaping AI deployment. Our analysis indicates that the European Commission, start-ups, researchers, and innovation labs were key partners for implementation, unlike civil society and large technology firms. Our study also reveals substantial challenges even for large, affluent cities, creating doubt about the applicability of AI projects for climate change mitigation in small and medium-sized cities.

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Language(s): eng - English
 Dates: 2025-12-042025-12-162026-01-01
 Publication Status: Finally published
 Pages: 15
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.erss.2025.104498
MDB-ID: No data to archive
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Cities: Data Science and Sustainable Planning
Research topic keyword: Mitigation
Research topic keyword: Climate impacts
Model / method: Qualitative Methods
Regional keyword: Europe
OATYPE: Hybrid Open Access
 Degree: -

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Title: Energy Research and Social Science
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 131 Sequence Number: 104498 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/energy-research-social-science
Publisher: Elsevier