To ensure the ethical and responsible use of AI, which of the following AI usage policy metrics is MOST important for an organization to monitor?

The correct answer is C. Number of AI projects that have undergone policy compliance review. AAISM emphasizes governance effectiveness metrics tied to real lifecycle checkpoints. The count (and percentage) of AI projects that completed policy compliance review before deployment is a leading indicator of policy enforcement and assurance. It directly reflects whether respo

AI Security Strategy and Governance

Question

Options

AFrequency of policy consultations by employees
BNumber of reported policy violations
CNumber of AI projects that have undergone policy compliance review
DFrequency of policy reviews and updates

How the community answered

(37 responses)

A
5% (2)
B
3% (1)
C
84% (31)
D
8% (3)

Explanation

AAISM emphasizes governance effectiveness metrics tied to real lifecycle checkpoints. The count (and percentage) of AI projects that completed policy compliance review before deployment is a leading indicator of policy enforcement and assurance. It directly reflects whether responsible-AI requirements (risk assessment, impact assessment, data/privacy checks, security controls) are embedded in practice.

Topics

#AI Governance#Compliance Monitoring#Ethical AI#Policy Enforcement

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