AI-Related Strategies, Policies, and Procedures AAISM Practice Questions (Page 2)

Questions 6–10

1. 6expert · hard

   A hospital has an AI policy that requires all AI algorithms to be validated by an external auditor before clinical use. The hospital's IT department is struggling to implement this policy because there is no defined process for selecting auditors or integrating validation into the deployment workflow. What is the most effective solution?

   • ARevise the policy to remove the external auditor requirement because it is too difficult to implement.
   • BDevelop a detailed procedure that defines auditor qualifications, validation steps, and integration with the existing change management process.
   • CPurchase an off-the-shelf AI validation tool and assume it satisfies the policy.
   • DAllow each department to decide how to implement the policy independently.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   What is the primary purpose of an AI policy that addresses ethical, legal, and operational requirements?

   • ATo document every possible AI use case in detail
   • BTo replace all existing IT and data policies
   • CTo provide a single authoritative set of principles and rules for AI use
   • DTo guarantee that all AI systems are free from bias
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   Which of the following is a typical role of an AI governance committee?

   • AMarketing AI products to customers
   • BManaging the day-to-day operations of AI systems
   • CWriting code for all AI models
   • DReviewing and approving AI projects that may pose significant risks
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   Which of the following is an example of a mechanism for continuous improvement of AI policies?

   • AA one-time approval of the AI policy
   • BDeleting the policy after implementation
   • CScheduled periodic reviews of the AI policy
   • DKeeping the policy unchanged for 10 years
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A financial institution has an AI policy that requires all AI models to be validated before deployment. The data science team is unsure how to perform this validation in practice. What should the organization create to bridge this gap?

   • AA vendor contract that requires the AI vendor to perform validation.
   • BA training session on AI ethics for the data science team.
   • CA detailed procedure document that outlines step-by-step validation activities, responsible roles, and approval checkpoints.
   • DA new AI policy that is more specific about validation requirements.
   Reveal Solution Discussion Select an answer first