Mapping the AI Governance Landscape: April 2026 Update
- Occurred
- Apr 9, 2026
- Published
- Apr 9, 2026
- Source
- CSET Georgetown
Summary
🔔 The number of AI-related governance documents continues to grow rapidly, but what risks, mitigations, and other concepts do these documents actually cover? MIT AI Risk Initiative researchers expanded their pipeline with CSET to map over 1,000 AI governance documents from the AGORA dataset to several extensible taxonomies. These taxonomies cover AI risks, actors, industry sectors, AI lifecycle stages, legislative status, and AI system technical scope, complementing AGORA’s thematic taxonomy of risk factors, harms, governance strategies, incentives for compliance, and application areas. The post Mapping the AI Governance Landscape: April 2026 Update appeared first on Center for Security and Emerging Technology.
Tags
- Uncategorized
- Data
Classification
Rationale: This is a research paper and policy analysis, not a concrete safety incident.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8