Related Experiment Video
Updated: Mar 27, 2026

Using Generative Art to Convey Past and Future Climate Transitions
Published on: March 31, 2023
Generative AI for climate governance and acceptability-constrained policy design
Ajaykumar Manivannan1, Viktoria Spaiser1, Tristan J B Cann2
1School of Politics and International Studies, University of Leeds, Leeds, UK.
Abstract:
Climate policies often fail when they clash with cultural values, social identities, and fairness perceptions. We propose Acceptability-Constrained Climate Policy Design (ACCPD), using large language models as "cultural world models" to simulate public responses before implementation. By embedding LLMs in generative agent-based models and physical system simulators, ACCPD aims to enable policymakers to co-optimize for climate-policy efficacy and social legitimacy. We discuss methodological limitations regarding representation and LLM opacity.
Related Concept Videos
Global Climate Change
Global Regulatory Systems
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
What is Climate?
Microbes and Climate Change
Non-equilibrium in the Cell
