control
C001 — Define AI risk taxonomy
Define AI risk taxonomy
Record JSON · Open in map · Data retrieval guide
Catalog revision: 24028ffcfc2b295fa1b08ee6caa84b765f0731b321496bf4f548c49ad2177028. A connection does not establish full coverage.
Attributes
- framework
- aiuc-1
- type
- preventive
- category
- administrative
Details
- control_id
- C001
- framework
- aiuc-1
- group
- Safety
- domains
- AI Governance
- risk_count
- 8
- control_type
- preventive
- control_category
- administrative
- automation
- manual
- key_control
- False
- requirement_status
- mandatory
- requirement_frequency
- Every 12 months
- source_url
- https://www.aiuc-1.com/safety/define-ai-risk-taxonomy
- source_pages
- Not provided
Source
Connections
- C001 — Define AI risk taxonomy belongs_to AIUC-1 (Jul 2026)
- UC-AI-04 — Assess impacts and classify AI systems before deployment maps_to C001 — Define AI risk taxonomy
- framework
- aiuc-1
- control_id
- C001
- coverage
- partial
- delta
- a system-specific AI risk taxonomy with severity tiers that drives output filtering, monitoring categories, and third-party test scope
- relationship
- intersects_with
- 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.