The company assumes increased obligations and higher: Which consequence most accurately reflects that choice?
Deploying your own proprietary model brings increased obligations and higher potential liability.
The question
A company is deciding between licensing a third-party model and deploying its own proprietary model built in-house. Leadership asks what governance consequence is distinctive to choosing the proprietary route. Which consequence most accurately reflects that choice?
Preparing for AIGP? Take the free 5-min readiness quiz →
- The company eliminates all responsibility for model behavior because it now controls the entire pipeline internally.Plausible but wrong: owning the pipeline increases, rather than eliminates, responsibility and liability.
- The company inherits the vendor's indemnification protections that would otherwise cap its downstream exposure.Almost right in mentioning indemnity, but building in-house means there is no vendor to provide such protection.
- The company assumes increased obligations and higher potential liability for the model it develops itself. ✓Correct because IV.B.3 highlights that deploying one's own proprietary model brings increased obligations and higher potential liability.
- The company avoids the need to conduct any impact assessment since no external system is being integrated.Plausible but wrong: impact assessments remain required regardless of whether the model is built or bought.
The trap
Believing that owning the model reduces obligations, when it increases them. How to remember it
Deploying your own proprietary model brings increased obligations and higher potential liability.
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 data-use clause governing whether the vendor may: Which term in the vendor agreement most directly →
- Deliver user training that explains the system's limits: Applying deployment policies and best practices, →
- Continuously monitor outputs against thresholds: Which approach best meets the monitoring-and-maintenance →
- 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.