Question 31
IIIWhy is assigning a clear "model owner" for each production AI system an important governance practice?
Correct answer: B
Explanation
Assigning a clear model owner ensures accountability for the system’s full lifecycle, including maintenance, monitoring, documentation, and compliance. Governance practices rely on a designated person or team so responsibilities are not diffuse and issues can be tracked and addressed consistently.
Why each option is right or wrong
A. So there is someone to publicly blame.
Governance assigns accountability for operations and risk management, not public blame.
B. So there is a designated person or team responsible for the model’s maintenance, monitoring, documentation, and compliance throughout its lifecycle.
The AIGP body of knowledge expressly requires governance over the AI life cycle, including “release, monitoring and maintenance” in Section III.C and deployment/use oversight in Section IV.C. A named model owner operationalizes that requirement by ensuring one accountable party can handle ongoing maintenance, monitoring, documentation, and compliance obligations as the system changes after deployment. Without that designation, those lifecycle duties become diffuse and the exam’s governance framework would not be met.
C. So the owner can personally approve all user prompts.
Model ownership concerns lifecycle oversight, not manually approving every user prompt.
D. So the owner can decide which programming language to use.
Programming language choice is an implementation detail, not the purpose of governance ownership.