nerdexam
Isaca

AAIA · Question #63

Which of the following metrics are the BEST indication of a mature and effective approach to an organization's data governance program for its AI systems?

The correct answer is B. Percentage of AI models with documented data lineage. Percentage of AI models with documented data lineage (B) is the best indicator because data lineage documentation-tracking where data originates, how it is transformed, and how it flows through systems-is a core pillar of mature data governance. It demonstrates accountability, tr

AI Strategy and Governance

Question

Which of the following metrics are the BEST indication of a mature and effective approach to an organization's data governance program for its AI systems?

Options

  • ANumber of AI projects completed within the last fiscal year
  • BPercentage of AI models with documented data lineage
  • CFrequency of data quality audits on the organization's data sets
  • DTotal budget allocated to AI initiatives across all departments

How the community answered

(58 responses)
  • A
    7% (4)
  • B
    78% (45)
  • C
    12% (7)
  • D
    3% (2)

Explanation

Percentage of AI models with documented data lineage (B) is the best indicator because data lineage documentation-tracking where data originates, how it is transformed, and how it flows through systems-is a core pillar of mature data governance. It demonstrates accountability, traceability, and control over the data assets underpinning AI models. The other options are poor indicators of governance maturity: number of completed AI projects (A) measures output volume, not governance quality; frequency of audits (C) measures activity, not effectiveness; and total budget allocated (D) measures investment, not governance rigor or outcome.

Topics

#Data governance for AI#AI governance metrics#Data lineage#AI program maturity

Community Discussion

No community discussion yet for this question.

Full AAIA Practice