AAIA Practice Test

AAIA Practice Test practice questions, page 20 of 23, with answer review and explanations.

Question 96

Which of the following should be of GREATEST concern to an IS auditor when reviewing ethical considerations for an AI solution?

  1. The decision-making process is unexplainable.
  2. The solution is hosted on a shared cloud environment.
  3. The model has not been retrained recently.
  4. The solution documentation is still in draft.

Question 97

Which of the following would pose the GREATEST risk when reviewing AI acceptable use training content?

  1. The content does not cover the use of effective prompting.
  2. The content does not cover the non-deterministic nature of AI.
  3. The content does not cover AI model architectures.
  4. The content does not cover required performance metrics.

Question 98

An IS auditor is reviewing an AI application that uses customer data to refine the organization's marketing outreach strategies. Which of the following should be the auditor's PRIMARY focus during this review?

  1. Alignment with organizational AI strategies
  2. Access control design and effectiveness
  3. Compliance with applicable privacy regulations
  4. Escalation protocols for sensitive data breaches

Question 99

An organization is training a skin cancer recognition model. Photographs collected from which of the following sources would present the GREATEST risk associated with data integrity?

  1. Research facility receiving grants for cancer research
  2. Open-source data augmentation file
  3. Social media platform with images from all over the world
  4. Cohort of dermatologists with signed patient consent forms

Question 100

An IS auditor examining change management procedures for an AI system observes inconsistent training data validation and verification protocols prior to model retraining. Which of the following is the MOST significant risk in this context?

  1. Addition of AI model complexity due to inconsistent data inputs
  2. Noncompliance due to inadequate model training documentation
  3. Degradation of system reliability due to compromised or substandard data
  4. Delays in AI model retraining due to procedural inefficiencies