The company assumes increased obligations and higher: Which consequence is most characteristic of building a
Owning a proprietary model in-house increases the organization's obligations and potential liability for its behavior.
The question
A company decides to develop and deploy its own proprietary AI model instead of licensing a vendor's, expecting greater control and differentiation. Its governance lead notes this choice changes the organization's risk posture. Which consequence is most characteristic of building a proprietary model in-house?
Preparing for AIGP? Take the free 5-min readiness quiz →
- The company is fully exempt from AI governance requirements because internally built models fall entirely outside the scope of external regulation.Plausible-sounding, but building in-house does not exempt an organization from governance; if anything it increases responsibility.
- The company transfers most accountability for the model's outputs to whichever cloud provider hosts the inference workloads.Plausible because hosting is involved, but the deploying organization retains accountability; infrastructure hosting does not offload responsibility for the model.
- The company automatically gains a lower risk profile because proprietary models are inherently more secure than open-source ones.Plausible as intuition, but proprietary origin does not inherently reduce risk, and in-house ownership tends to raise obligations.
- The company assumes increased obligations and higher potential liability because it now owns the model's development, behavior, and outcomes. ✓Correct because building in-house shifts development responsibilities onto the company, raising its obligations and liability exposure per the objective.
The trap
Assuming that greater control from building in-house means reduced regulatory obligation or liability. How to remember it
Owning a proprietary model in-house increases the organization's obligations and potential liability for its behavior.
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 How to Govern AI Deployment and Use questions
- The allocation of liability and indemnification for harms: Reviewing the contract, which term should the →
- An issue-management process giving users a clear channel: To apply sound deployment governance, which control →
- Model drift, where changing real-world fraud patterns: What does this pattern most likely indicate? →
- All 424 Understanding How to Govern AI Deployment and Use questions →
Part of the Certsqill AIGP question bank · Understanding How to Govern AI Deployment and Use ·
Every answer, right and wrong, comes with its own explanation.
