Singapore GenAI Framework
Governance framework addressing generative-AI concerns across accountability, data, trusted development, incident reporting, testing, security, provenance and safety.
Governance framework addressing generative-AI concerns across accountability, data, trusted development, incident reporting, testing, security, provenance and safety.
Generative AI ecosystem participants.
Voluntary framework.
Governance framework addressing generative-AI concerns across accountability, data, trusted development, incident reporting, testing, security, provenance and safety.
Maintain mechanisms to identify, escalate, investigate and learn from material AI incidents.
Actor: developers/deployers · Domain: incident response
Evidence: Incident taxonomy, reporting channels, response playbooks and post-incident review.
Use structured testing and assurance appropriate to system risks and deployment context.
Actor: developers/deployers · Domain: evaluation
Evidence: Evaluation plan, independent review where appropriate and remediation evidence.
Cybatar's mapping is designed for AI governance and assurance work. Legal interpretation remains anchored to the current primary text and competent authority guidance.
Open IMDA Singapore source