AI Governance Map

Using an LLM pipeline, we assessed how well each document in CSET Emerging Technology Observatory's AGORA dataset covered industrial sectors based on the North American Industry Classification System. Each document may cover multiple sectors. See the pilot blog post for discussion of the methodology.

Insights from analysis of Sectors Governed:

• Concentration in public and research-oriented sectors. The sectors most frequently referenced in the AGORA dataset are concentrated in the public sector and research-oriented domains, including Public Administration (excluding National Security), Scientific Research and Development, Information, and National Security.
• Human related sectors receive less coverage. Sectors more directly tied to everyday life and economic activity receive substantially less attention. The least frequently covered sectors include Accommodation, Food, and Other Services, Management, Administration, and Support Services, and Real Estate and Rental and Leasing. 
• Policy implication. This distribution suggests that AI governance documents within the AGORA dataset have prioritized institutional, technical, and security-oriented contexts, while governance of consumer-facing and labor-intensive sectors—where societal and economic impacts are more immediate—has received comparatively less attention.