From the hash-bound evidence releases
Recorded claims
Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.
The GenAI Profile identifies cross-sector risks including confabulation, data privacy, harmful bias/homogenization, human-AI configuration, information integrity and security, intellectual property, harmful content, environmental impacts, and value-chain/component integration.
Scope: Cross-sector generative-AI risks; relevance and severity vary by use case.
The profile maps suggested actions to Govern, Map, Measure, and Manage across the lifecycle, making predeployment evaluation, provenance, monitoring, incident response, and supplier/value-chain review recurring operating processes rather than a one-time model approval.
Scope: Recommended risk-management actions, not legal requirements or certification.
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (0)
No in-corpus outgoing citation is available in the current enrichment coverage.
Cited by (0)
No in-corpus incoming citation is available in the current enrichment coverage.
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Voluntary companion profile
- Risk categories are broad and context-dependent
- No control-effectiveness estimates
- Technology and threat environment evolve
Source independence
US government cross-sector profile; normative risk taxonomy and actions, not an audit of deployments.