An AI governance audit finds that an organization's AI risk assessments are performed once at model inception and never updated. What is the MOST significant risk this practice creates?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because AI risk is dynamic: models drift, use cases expand beyond original scope, regulations evolve, and the threat landscape changes. A one-time risk assessment becomes stale almost immediately and fails to capture these evolving risks.
Full explanation below image
Full Explanation
B is correct because AI risk is dynamic: models drift, use cases expand beyond original scope, regulations evolve, and the threat landscape changes. A one-time risk assessment becomes stale almost immediately and fails to capture these evolving risks. Periodic or event-triggered risk assessment updates are essential to maintaining a current view of AI risk. Methodology inconsistency (A) is a quality concern that is orthogonal to assessment frequency. Computational cost (C) of risk assessments is negligible and not a relevant risk. Documentation compliance (D) is a minor administrative concern compared to the substantive risk management failure.