Governance & Compliance · Data artifact
Risk Acceptance Record
Data artifactGovernance & ComplianceSafety, Security & Governancearc:RiskAcceptanceRecord
A signed record formally accepting a residual AI risk, stating business justification, monitoring plan, operating conditions, approvers and a re-assessment review date.
Responsibility. Documents the conscious, conditional acceptance of a residual risk.
Also known as: Risk acceptance form
Relationships
is read by dependency
sends data to dynamic
constrains control
- Agent Controller abstract Ref9.07
is evaluated by assurance
Design guidance
- MUST follow technical, compliance and business stakeholder review before a decision gate.
- MUST state conditions of acceptance and a review date for re-assessment.
Quantitative guidance
As stated by the sources; verify before use.
- Example conditions: human review gate required, user satisfaction > 4.0/5.0, error rate < 2%, review in 6 months (Ref9.07).
Classification
- Quality attributes
- Transparency and accountability (NIST AI RMF: accountable and transparent)
- Risks mitigated
- Implicit acceptance of risk without accountable sign-off
- Frameworks & regulations
- NIST AI RMF: MANAGEISO 31000
Sources
- Ch9.8: T. Nguyen, "Standards and Frameworks for AI Governance," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.8. ISBN: 9798244538229.
- Ref9.07: "Risk Assessment and Management for AI Systems," unpublished reference note (references/Chapter 9 - Safety, Ethics, and Compliance/07-Risk-Assessment-Management.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note