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Using an LLM pipeline, we assessed each document in CSET Emerging Technology Observatory's AGORA dataset for coverage of risk subdomains, sectoral coverage, legislative status, affected actors and technical scope. This page supports filtering by multiple categories and search-terms. Click through on individual documents to view all details.
Important context for interpreting these results:
The LLM classifications are based on the approximately 1000 documents in the AGORA dataset, which is predominantly composed of U.S.-origin English language government proposed documents, the majority of which are federal-level.
Coverage patterns described therefore reflect the priorities and framing conventions of this particular corpus and should not be taken as representative of the global AI governance landscape. We also found LLM classifications to exhibit some biases including over-attribution of coverage when governance-related language is present. Coverage scores should be taken as indicative of broad patterns rather than precise measurements.
Click through the links below to explore each of the other interactive dashboards in the Governanvce Mapping project.
