AI governance needs cross-functional collaboration: What does this outcome most directly illustrate about AI
Policies drafted in a silo become infeasible; cross-functional collaboration keeps them effective and implementable.
The question
A privacy team single-handedly drafted the organization's AI policy, but engineering later reports that several mandated controls are technically infeasible to implement in the existing systems. What does this outcome most directly illustrate about AI governance?
Preparing for AIGP? Take the free 5-min readiness quiz →
- AI governance should be owned entirely by the engineering function, so that only teams with deep technical skill are permitted to author organizational AI policy.Plausible but wrong: shifting sole ownership to engineering merely recreates the same siloing problem in reverse.
- AI governance needs cross-functional collaboration, so that policies are shaped by diverse expertise and remain both effective and technically implementable. ✓Correct: involving engineering and other functions early yields policies that are workable, which is the point of cross-functional collaboration.
- AI governance policies should be written to be intentionally vague, so that no specific control can ever be judged technically infeasible by the engineering team.Plausible but wrong: vagueness weakens governance and does not address the need for feasible, collaborative controls.
- AI governance should defer all policy creation until after systems are built, so that policies simply document whatever controls engineering has already implemented.Plausible but wrong: writing policy only to ratify existing builds abandons proactive governance.
The trap
Replacing one functional silo with another instead of collaborating across functions. How to remember it
Policies drafted in a silo become infeasible; cross-functional collaboration keeps them effective and implementable.
How many of these would you get right?
One of 1581 AIGP questions on Certsqill. Take a free five-minute check and see your score per domain — not one number, but which section to open tonight.
Test your AIGP readiness — freeMore Understanding the Foundations of AI Governance questions
- The model or system owner: Which stakeholder is typically assigned this responsibility? →
- To build a shared baseline of AI literacy and awareness: What is the primary purpose of requiring this program →
- The insurer's regulated industry and higher-impact use: Which factor most justifies a more formalized, →
- All 337 Understanding the Foundations of AI Governance questions →
Part of the Certsqill AIGP question bank · Understanding the Foundations of AI Governance ·
Every answer, right and wrong, comes with its own explanation.
