These visualizations are experimental and still being refined. Designs and data presentation may change.
Responsibility vs Regulation Gap
Comparing expert ratings (responsibility or vulnerability per actor) vs governance targeting frequency (how many governance documents actually target each actor). Toggle between responsibility and vulnerability to see where governance attention doesn’t match expert expectations.
Governance Targeting
Expert Responsibility
Key Takeaways
- 1.AI Infrastructure Provider has the largest responsibility gap at +15pp — experts expect far more from this actor than governance documents currently target.
- 2.AI Deployer is the most over-targeted at -19pp — governance documents address this actor more than expert responsibility ratings suggest.
- 3.Of 7 actor types, 3 are under-targeted and 2 are over-targeted by governance relative to expert responsibility assessments.
- 4.AI Governance Actor receives the most governance attention (595 docs), making it the primary focus of current regulatory frameworks.
Both metrics are min-max normalized to 0-100% for visual comparison.