Report incidents and mark AI-generated content (generative AI framework)
Under Singapore Model AI Governance Framework, Generative AI framework, dimensions on incident reporting and content provenance
What does it require?
The generative-AI framework recommends incident-reporting channels and processes for AI harms, and content provenance measures such as digital watermarking and cryptographic provenance so that users can identify AI-generated content.
Practical action
Implement provenance markers for generated media and an AI incident reporting channel.
Who does it apply to?
Voluntary for developers and deployers of generative AI.
Evidence examples
- Content provenance implementation record (document)
Framework mappings
Original editorial crosswalks. They cite clause numbers only and reproduce no standard text; confidence reflects how direct the mapping is.
| Framework | Reference | Note | Confidence |
|---|---|---|---|
| NIST AI RMF 1.0 | NIST AI 600-1 content provenance and incident disclosure | Original editorial mapping. | medium |
Similar obligations in other instruments
- Notify consumers and explain adverse consequential decisions — Colorado AI Act, Colorado (United States)
- Publish an annual AI use-case inventory — OMB M-25-21, United States
- Disclose AI interaction and label synthetic content — EU AI Act, European Union
- Provide deployers with clear instructions for use — EU AI Act, European Union
- Notify individuals about the use of personal data in AI recommendations and decisions — PDPC AI advisory guidelines, Singapore
- Provide appropriate transparency and explainability — UK AI regulation framework, United Kingdom (voluntary)
Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.