
ISACAAdvanced in AI Risk
Domain 1Objective 4
AI Policies, Procedures, and Organizational Training AAIR Practice Questions (Page 4)
Part of the AI Risk Governance and Framework Integration domain, which accounts for 37% of the AAIR exam.
35questions here
7free pages
10concepts
37%of the exam
Questions 16–20
- 16
Which requirement must an AI policy address to be comprehensive?
Select an answer first - 17
What is the role of compliance oversight in AI governance?
Select an answer first - 18
A government agency is developing an AI policy framework. The agency must comply with strict procurement rules, maintain public trust, and allow innovation. The procurement team wants AI acquisitions to follow standard IT procurement, while the AI team wants a fast-track for low-risk prototypes. The public affairs office requires transparency about AI use. Which framework component best balances these competing needs?
Select an answer first - 19
An e-commerce company is writing an AI policy for its recommendation engine. The marketing team wants to maximize personalization, the legal team requires compliance with data protection laws, and the customer service team needs to explain recommendations to customers. Which policy provision best addresses all three?
Select an answer first - 20
A manufacturing company is planning AI training for its workforce. The plant floor supervisors use AI-based predictive maintenance dashboards, the data science team builds custom models, and the executive team approves AI budgets. A needs assessment reveals that supervisors can interpret alerts but not explain model limitations, data scientists lack formal risk assessment training, and executives are unaware of regulatory exposure. Which training program design addresses the most critical gaps?
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