1,059 AI governance documents from CSET's ETO AGORA, mapped by risk coverage, sector scope, and regulatory approach.
The dataset tracks laws, regulations, standards, guidelines, and voluntary commitments related to AI across jurisdictions. Sourced from Georgetown's ETO AGORA database, each document has been enriched with LLM-classified metadata: legal category (hard vs. soft law), implementation status, domain taxonomy mappings, and sector coverage — enabling structured filtering and cross-dataset comparison.
Identify which risk domains have strong regulatory coverage and which remain under-governed, and understand how the regulation impacts different actors in the AI ecosystem. Compare how different jurisdictions approach the same risks. Track the evolution of AI governance over time — from proposal through adoption.
How governance documents distribute across risk subdomains. Switch the breakdown dimension to view by jurisdiction, authority level, status, or sector.
Browse all governance documents or use filters to narrow by jurisdiction, status, or keyword.