Generative AI for climate governance and acceptability-constrained policy design

Key Points

• To develop a novel framework, Acceptability-Constrained Climate Policy Design (ACCPD), that incorporates public sentiments into climate policies.
• Utilized large language models as cultural world models to simulate public responses.
• Integrated LLMs into generative agent-based models and physical system simulators.
• Focused on co-optimizing climate policy efficacy with social legitimacy.
• ACCPD enables policymakers to better align climate policies with public values.
• Highlights the need to address methodological limitations related to representation and model opacity.

Abstract