unified
UC-AI-10 — Meet transparency obligations for AI systems
Provide users, deployers, and other interested parties with documentation and instructions for each AI system describing its intended purpose, capabilities, limitations, performance characteristics, and required human-oversight measures. Disclose when people are interacting with an AI system, and mark AI-generated or manipulated content, including deepfakes, in a machine-readable and clearly perceptible way where required. Keep transparency materials current with system changes and retain distribution evidence.
Record JSON · Open in map · Data retrieval guide
Catalog revision: 24028ffcfc2b295fa1b08ee6caa84b765f0731b321496bf4f548c49ad2177028. A connection does not establish full coverage.
Attributes
- domain
- AI Governance
- type
- preventive
- category
- administrative
Details
- unified_id
- UC-AI-10
- title
- Meet transparency obligations for AI systems
- statement
- Provide users, deployers, and other interested parties with documentation and instructions for each AI system describing its intended purpose, capabilities, limitations, performance characteristics, and required human-oversight measures. Disclose when people are interacting with an AI system, and mark AI-generated or manipulated content, including deepfakes, in a machine-readable and clearly perceptible way where required. Keep transparency materials current with system changes and retain distribution evidence.
- domain
- AI Governance
- control_type
- preventive
- control_category
- administrative
- members
- framework
- iso-42001
- control_id
- A.8.2
- coverage
- full
- relationship
- superset_of
- framework
- iso-42001
- control_id
- A.8.5
- coverage
- full
- relationship
- superset_of
- framework
- eu-ai-act
- control_id
- AIA-Art13
- coverage
- full
- relationship
- superset_of
- framework
- eu-ai-act
- control_id
- AIA-Art50
- coverage
- partial
- delta
- informing persons exposed to emotion-recognition/biometric-categorisation systems omitted
- relationship
- intersects_with
- framework
- aiuc-1
- control_id
- E016
- coverage
- full
- relationship
- superset_of
- guidance
Source
No record-specific source URL is provided.
Connections
- UC-AI-10 — Meet transparency obligations for AI systems maps_to AIA-Art13 — Transparency and provision of information to deployers (high-risk)
- framework
- eu-ai-act
- control_id
- AIA-Art13
- coverage
- full
- relationship
- superset_of
- delta
- Not provided
- source_version
- Regulation (EU) 2024/1689
- 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.
- UC-AI-10 — Meet transparency obligations for AI systems mitigates Inaccurate, unreliable or hallucinated AI outputs
- strength
- related
- rationale
- Disclosed limitations and performance characteristics calibrate user trust so erroneous outputs are less blindly relied on.
- UC-AI-10 — Meet transparency obligations for AI systems mitigates AI power concentration and erosion of societal trust
- strength
- related
- rationale
- Labeling synthetic media counters undetected AI content in automated influence operations that degrade the epistemic environment.
- AI Transparency & Value-Chain Communications operates UC-AI-10 — Meet transparency obligations for AI systems
- UC-AI-10 — Meet transparency obligations for AI systems mitigates Lack of AI explainability, documentation and disclosure
- strength
- primary
- rationale
- Disclosing AI involvement and providing capability/limitation instructions directly addresses the non-disclosure and uninformed consent the risk names.
- ISO/IEC 42001 AI Management System Internal Audit tests UC-AI-10 — Meet transparency obligations for AI systems
- UC-AI-10 — Meet transparency obligations for AI systems mitigates Power imbalance and loss of self-determination over personal data
- strength
- related
- rationale
- Disclosure and instructions reduce the informational asymmetry and opacity of algorithmic decisions the risk names.
- AI Governance & Risk/Impact Assessment oversees UC-AI-10 — Meet transparency obligations for AI systems
- UC-AI-10 — Meet transparency obligations for AI systems maps_to A.8.5 — Information for interested parties
- framework
- iso-42001
- control_id
- A.8.5
- coverage
- full
- relationship
- superset_of
- delta
- Not provided
- source_version
- 2023
- 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.
- UC-AI-10 — Meet transparency obligations for AI systems mitigates GPAI transparency, systemic-risk and synthetic-content obligations
- strength
- primary
- rationale
- Machine-readable marking of AI-generated/deepfake content is the synthetic-content labeling obligation the risk says is unmet.
- UC-AI-10 — Meet transparency obligations for AI systems mitigates Insufficient human oversight and automation complacency
- strength
- related
- rationale
- Documenting required human-oversight measures for deployers enables the oversight UC-16 operates.
- UC-AI-10 — Meet transparency obligations for AI systems maps_to A.8.2 — System documentation and information for users
- framework
- iso-42001
- control_id
- A.8.2
- coverage
- full
- relationship
- superset_of
- delta
- Not provided
- source_version
- 2023
- 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.
- UC-AI-10 — Meet transparency obligations for AI systems maps_to AIA-Art50 — Transparency obligations for certain AI systems (deepfakes, chatbots, emotion recognition)
- framework
- eu-ai-act
- control_id
- AIA-Art50
- coverage
- partial
- delta
- informing persons exposed to emotion-recognition/biometric-categorisation systems omitted
- relationship
- intersects_with
- source_version
- Regulation (EU) 2024/1689
- 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.
- 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.