Explore selected, predominantly US and English-language AI debate. Three narrative areas and a fourth institutional network connect public positions with US AI policy. Classifications remain editorial interpretations.
Select a node to highlight its neighbours in this graph. Select an edge for its meaning and evidence. Drag and zoom to explore.
Classification criteria and evidence coverage follow the selected edition.
The blue US AI policy bubble is an institutional network. It shows announced task-force leadership, reporting lines, institutional roles and adjacent PCAST advisory connections. Membership describes a role or editorial inclusion in this network. Individual narrative placement requires its own evidence.
Source references and edge metadata distinguish stated positions, documented connections, editorial interpretation and incentive hypotheses. Appointments, company disclosures and past employment establish bounded connections. Demonstrated influence requires evidence tied to a particular decision. Detailed task-force powers and operating arrangements remain to be verified.
Relationship categories overlap. Positions and signatures describe bounded public statements; institutional collaboration requires a documented working connection. Earlier editions retain their original evidence and use compatible viewing rules. The latest edition carries an explicit, individually reviewed category list for every relationship.
Source-specific methods and limitations appear with the references.
Source dates, observation dates, effective dates and publication dates have distinct meanings. The release selector preserves earlier editions and their historical classifications. The change panel identifies additions and revisions. Interpretations remain open to correction through Shane Cooper and the LinkedIn post sharing the map.
Built in Neo4j and published as an interactive snapshot. Credentials and private source captures remain local. Select a connection to inspect its scope, references and uncertainty.