Quantified policy targets are a fundamental element of climate policy, typically characterised by domain-specific and technical language. Current methods for curating comprehensive views of global climate policy targets entail significant manual effort. At present there are few scalable methods for extracting climate targets from national laws or policies, which limits policymakers' and researchers' ability to (1) assess private and public sector alignment with global goals and (2) inform policy decisions. In this paper we present an approach for extracting mentions of climate targets from national laws and policies. We create an expert-annotated dataset identifying three categories of target ('Net Zero', 'Reduction' and 'Other' (e.g. renewable energy targets)) and train a classifier to reliably identify them in text. We investigate bias and equity impacts related to our model and identify specific years and country names as problematic features. Finally, we investigate the characteristics of the dataset produced by running this classifier on the Climate Policy Radar (CPR) dataset of global national climate laws and policies and UNFCCC submissions, highlighting the potential of automated and scalable data collection for existing climate policy databases and supporting further research. Our work represents a significant upgrade in the accessibility of these key climate policy elements for policymakers and researchers. We publish our model at https://huggingface.co/ClimatePolicyRadar/national-climate-targets and related dataset at https://huggingface.co/datasets/ClimatePolicyRadar/national-climate-targets.

To achieve real climate solutions, changing behavior and developing technology is not enough, says Michal Nachmany, founder and CEO of the environmental nonprofit Climate Policy Radar. "A lot of this is policy," she says. We need better laws, policies, and regulations, as well as needing to hold policymakers and corporates to account, because they're not doing a good enough job, she argues. The problem is that understanding what policies are out there, and what works and what doesn't, is an enormous task. So Climate Policy Radar's goal is to use AI to understand the sprawling climate policy space, to help make sure that future laws and policies are evidence-based.