Which of the following is MOST important for effective AI risk management?
A.
Creation of separate risk management processes for AI-specific risk
B.
Risk measurement during an early stage of the AI system life cycle
C.
Internal stakeholder participation in AI risk management processes
D.
Utilization of best practice AI risk management frameworks
The Answer Is:
C
This question includes an explanation.
Explanation:
AAISM emphasizes that effective AI risk management is socio-technical and hinges on cross-functional stakeholder participation (business owners, security, privacy, legal, compliance, data science, operations). Participation ensures risks are identified, prioritized, and treated in alignment with business context and risk appetite. While early measurement (B) and using frameworks (D) are important, and separate processes (A) can create silos, stakeholder participation is the primary success factor ensuring governance is practical, adopted, and continuously improved.
[References: AI Security Management™ (AAISM) Body of Knowledge — Governance Roles & Accountability; Integrated Risk Management for AI; Cross-Functional Risk Committees and RACI for AI Programs., ===========]
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