Work

Biodiversity ambition analysis with Large Language Models

Year: 2025

Type: conference-paper

Abstract: The Kunming-Montreal Global Biodiversity Framework (GBF) has 23 action-oriented global targets for urgent action over the decade to 2030.Parties committing themselves to the targets set by the GBF are required to share their national targets and biodiversity plans.In a case study on the GBF target to reduce pollution risks, we analyze the commitments of 110 different Parties, in 6 different languages.Obtaining satisfactory results for this target, we argue that using Generative AI can be very helpful under certain conditions, and it is a relatively small step to scale up such an analysis for other GBF targets.

DOI: 10.18653/v1/2025.climatenlp-1.7

Authors: Stefan Troost, Roos Immerzeel, Christoph Krueger

Language: English

Topic: Artificial Intelligence in Law

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDG: Climate action

Open Access status: gold

OpenAlex ID: W4412889056

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