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  Framing artificial intelligence as a policy instrument in urban climate action: Practitioners' perspectives from Paris

Hintz, M. J., Kaack, L. H., Creutzig, F., Vitale, T. (2026 online): Framing artificial intelligence as a policy instrument in urban climate action: Practitioners' perspectives from Paris. - Cities, 179, 107414.
https://doi.org/10.1016/j.cities.2026.107414

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 Urheber:
Hintz, Marie Josefine1, Autor           
Kaack, Lynn H.2, Autor
Creutzig, Felix1, Autor                 
Vitale, Tommaso2, Autor
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2External Organizations, ou_persistent22              

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Schlagwörter: Artificial intelligence Climate action Policy instrument Implementation research Paris AI governance
 Zusammenfassung: Urban practitioners increasingly integrate artificial intelligence (AI) into tasks related to the implementation of climate action. With the impact of AI transcending specific tasks but changing responsibilities and routines, it must be considered as a policy instrument. While research identified potential AI applications and traced implementation processes, it remains understudied how practitioners introduce AI and how AI systems change workflows and decision hierarchies in urban climate action. Treating AI as a policy instrument, this study examines the city of Paris through 10 open interviews with 12 interviewees and 13 documents. We show that AI currently produces incremental shifts in tasks related to climate action. These shifts redefine urban practitioners' responsibilities towards integrating AI based on socio-technical risk assessment and translation to deliberative formats. We also document how practitioners mediate AI's integration into urban climate action through technocratic, moral, and political logics of action, contrasted with their doubts about the usefulness of AI. Doubts include, for instance, that AI risks depoliticizing urban climate action. By assessing AI as a socio-technical policy instrument rather than a neutral tool, our study unpacks both technical operational utility and symbolic values, including tensions in between, such as complexity-handling versus oversimplification, and acceleration versus accountability. We argue that urban practitioners must critically reflect on their expectations towards AI systems and engage with fundamental concerns to reduce tensions. Finally, we created a checklist for urban practitioners who engage with AI in climate action and aim to operationalize democratic AI governance as a means to reduce adverse consequences.

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Sprache(n): eng - English
 Datum: 2026-07-25
 Publikationsstatus: Online veröffentlicht
 Seiten: 13
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.cities.2026.107414
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: Cities
Research topic keyword: Climate Policy
OATYPE: Hybrid Open Access
 Art des Abschluß: -

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Titel: Cities
Genre der Quelle: Zeitschrift, SCI, Scopus
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 179 Artikelnummer: 107414 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/cities
Publisher: Elsevier