AI Governance and Program Management AAIA Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   What is the primary purpose of an AI steering committee?

   • ATo develop and train AI models
   • BTo audit AI systems for compliance
   • CTo write AI policies and standards
   • DTo prioritize AI initiatives and provide cross-functional oversight
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   What is the primary purpose of monitoring an AI program during execution?

   • ATo define the program scope
   • BTo write the final program report
   • CTo track progress against the plan and identify deviations
   • DTo replace the need for project management
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4. 13foundation · easy

   What is the primary purpose of maintaining audit readiness for AI systems?

   • ATo make AI systems more complex
   • BTo hide AI risks from auditors
   • CTo ensure that evidence and documentation are available for audits
   • DTo avoid the need for audits
   Reveal Solution Discussion Select an answer first
5. 14application · medium

   A financial services firm is deploying an AI system for credit underwriting. The board has set a conservative risk appetite, emphasizing fairness and regulatory compliance. The AI governance committee is reviewing the proposed system and must decide whether to approve it. Which action best aligns the AI initiative with the organization's strategy and risk appetite?

   • AApprove the system with a note that any compliance issues will be addressed after deployment.
   • BDelegate the approval decision to the data science team, as they best understand the model's capabilities.
   • CRequire a fairness impact assessment and a compliance review before approval, with results reported to the board.
   • DApprove the system because it meets the technical performance targets set by the data science team.
   Reveal Solution Discussion Select an answer first
6. 15expert · hard

   A pharmaceutical company is developing an AI system to assist in drug discovery. The system uses sensitive research data and must comply with intellectual property laws and data protection regulations. The AI governance team is developing policies. Which policy approach best balances innovation with compliance?

   • AOutsource data governance to a third-party to ensure compliance.
   • BAllow the data science team to use any data they deem necessary without oversight.
   • CImplement a strict policy that prohibits the use of any external data in AI development.
   • DDevelop a policy that allows external data use but requires a data governance review and approval process.
   Reveal Solution Discussion Select an answer first