control
E016 — Implement AI disclosure mechanisms
Implement AI disclosure mechanisms
Record JSON · Open in map · Data retrieval guide
Catalog revision: f368a6cce277037e4b1e1ff46004e3acd295f96c9ac63a411a0e45775a7f468e. A connection does not establish full coverage.
Attributes
- framework
- aiuc-1
- type
- preventive
- category
- technical
Details
- control_id
- E016
- framework
- aiuc-1
- group
- Accountability
- domains
- AI Governance
- Governance, Policy & Oversight
- risk_count
- 6
- control_type
- preventive
- control_category
- technical
- automation
- automated
- key_control
- False
- requirement_status
- mandatory
- requirement_frequency
- Every 12 months
- source_url
- https://www.aiuc-1.com/accountability/implement-ai-disclosure-mechanisms
- source_pages
- Not provided
Source
Connections
- E016 — Implement AI disclosure mechanisms belongs_to AIUC-1 (Jul 2026)
- UC-AI-10 — Meet transparency obligations for AI systems maps_to E016 — Implement AI disclosure mechanisms
- framework
- aiuc-1
- control_id
- E016
- coverage
- full
- relationship
- superset_of
- delta
- Not provided
- source_version
- July 15, 2026 release (quarterly update cadence)
- provenance
- mapper
- coworkcanvas-compliance-graph
- reviewDate
- 2026-09-07
- direction
- canonical_to_source
- defaultConfidence
- medium
- defaultStatus
- active
- note
- Each member is a documented relationship claim from the canonical unified control to a source control or guidance proposition. relationship: equal|superset_of (full) / intersects_with|subset_of (partial) / informs (guidance). confidence 'medium' = single-mapper, documented, not yet externally corroborated. source_version is the member framework's edition from the standard version register.