AAIA Practice Test

AAIA Practice Test practice questions, page 12 of 23, with answer review and explanations.

Question 56

When reviewing an organization's AI data governance program, which of the following is MOST important to validate to ensure compliance with privacy regulations?

  1. Implementation of privacy techniques in AI models
  2. Security of private cloud deployment of AI models
  3. Feasibility of AI model retraining to incorporate new privacy data
  4. Avoidance of AI models that are based on open-source algorithms

Question 57

An organization passes transaction data to an AI system so it can produce recommendations for customers. Which of the following is MOST important for management to do to keep this reliable?

  1. Be aware of the social influences of the AI-based services they provide.
  2. Obtain independent certification on strategies for business resilience.
  3. Have insurance coverage to compensate for AI-related litigations.
  4. Ensure risk mitigation scenarios reduce exposures to a tolerable range.

Question 58

A banking organization uses AI to support the credit scoring process. Which of the following is the GREATEST benefit of providing interpretations of AI model outputs?

  1. It ensures the outputs align with the organization's internal ethical standards.
  2. It helps auditors identify areas where the AI model may require retraining.
  3. It allows stakeholders to understand the reasons behind the outputs.
  4. It reduces the need for human oversight in the loan approval process.

Question 59

When evaluating an AI system used to approve loan applications, an IS auditor notes decisions are made by the AI tool without oversight. Which of the following is the auditor's BEST recommendation?

  1. Establish early human review checkpoints to detect errors or biases in AI decisions.
  2. Allow human review only when customers appeal decisions.
  3. Perform cross-validation before model deployment to production.
  4. Accept the outputs of the AI tool as valid if technical validation was previously conducted.

Question 60

When evaluating whether an AI algorithm deployed by an organization aligns with its business objectives, it is MOST important to:

  1. review algorithm documentation for completeness.
  2. confirm the outcomes from using the algorithm support strategic goals.
  3. validate that data sources are identified in the business strategy.
  4. verify the algorithm’s ability to process transactions accurately.