AI System Context Record

Data artifactGovernance & ComplianceSafety, Security & Governancearc:AISystemContextRecord

A per-system governance document capturing the operational deployment context, stakeholder analysis, intended and off-label uses, and domain assumptions against which risks and impacts are assessed.

Responsibility. Documents the actual deployment conditions and affected stakeholders of one AI system.

Also known as: Context documentation, Stakeholder analysis, AI management system scope

Direct neighbourhood (hover for relationship types)

Relationships

sends data to dynamic

Design guidance

MUST identify all affected parties, including indirectly affected groups and society, not only direct users.
SHOULD be re-documented when the same system is deployed into a different context, because context changes the risk profile.
SHOULD incorporate technical, legal, ethics and affected-community perspectives.

Classification

Patterns: NIST AI RMF Map functionMulti-perspective evaluation
Quality attributes: Transparency and accountability (NIST AI RMF: accountable and transparent)Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated: Risk management addressing abstract capabilities instead of real deployment conditionsOverlooked indirectly affected stakeholders
Frameworks & regulations: NIST AI RMF: MAPISO/IEC 42001 §4 Context of the organization

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.