Downloads
Authors
Carlos Rodriguez-Pardo,
Guido Ascenso,
Cindy Giselle Azuero Pedraza,
Marie-Lou Bachelery,
Manuela Balzarolo,
Sara Beery,
Vitus Benson,
Laure Berti-Equille,
Annalisa Bracco,
Momme Momme Butenschön,
Gustau Camps-Valls,
Andrea Castelletti,
Melissa Chapman,
Ioana Colfescu,
Italo Epicoco,
Chaneil James,
Konstantin Klemmer,
Raphaela Kotsch,
Vipin Kumar,
Christian Lessig,
Amirpasha Mozaffari,
S. Karthik Mukkavilli,
Arthur Ouaknine,
Quentin Paletta,
Maria Pérez-Ortiz 
,
Esther Rolf,
Mary Sanford,
Soheil Shayegh,
Kasia Tokarksa,
Massimo Tavoni
Abstract
Climate information is advancing faster than the decision systems designed to use it. Emergency response operates on timescales of hours, whereas societal adaptation unfolds over decades. Yet climate science, impact assessment and policy remain poorly integrated, limiting coherent action across timescales. We argue that artificial intelligence should be developed not only as a domain-specific tool, but as an integration layer linking fragmented physical, social and institutional systems. This Perspective outlines a blueprint for Integrated Climate Intelligence built on three pillars: fairness, which prioritizes vulnerability alongside data availability; speed, which reduces the latency between assessment and action; and robustness, which quantifies uncertainty under extrapolation and high-stakes decision-making. We further propose a Climate AI Trust Index as an evaluation framework for assessing whether climate AI systems are sufficiently rigorous, equitable and decision-relevant for operational use.
DOI
https://doi.org/10.31223/X5TV1V
Subjects
Artificial Intelligence and Robotics, Environmental Indicators and Impact Assessment, Environmental Monitoring, Planetary Sciences, Sustainability
Keywords
Dates
Published: 2026-05-13 15:18
Last Updated: 2026-05-13 15:18
License
CC-By Attribution-NonCommercial-NoDerivatives 4.0 International
Metrics
Views: 836
Downloads: 144