AAIA Practice Test

AAIA Practice Test practice questions, page 13 of 23, with answer review and explanations.

Question 61

An organization uses an AI-based chatbot that collects customer data during interactions. Which of the following is MOST important to ensure compliance with data consent requirements?

  1. Obtaining consent each time queries are processed by the chatbot
  2. Deleting data immediately following customer interactions with the chatbot
  3. Anonymizing user interaction data after three months
  4. Embedding a consent mechanism that provides clear options before data collection begins

Question 62

A large organization is implementing a new AI system that uses customer data. Which of the following is the BEST approach for risk mitigation to protect customer privacy?

  1. Implement a mechanism for customers to opt out of the use of their data.
  2. Assign sole responsibility for risk mitigation to the development team.
  3. Implement data anonymization and impact assessments.
  4. Conduct periodic risk and vulnerability assessments.

Question 63

An IS auditor learns that the organization’s AI solution is configured with web integration enabled. Which of the following is the MOST important control for the auditor to validate?

  1. Data augmentation activities prior to model building
  2. Key performance indicator (KPI) metrics for model inference time
  3. Activity logging with integration to the organization’s SIEM system
  4. Separation of duties between the model creator and the model tester

Question 64

Which of the following is the GREATEST risk resulting from excessive agency in AI systems?

  1. Inefficient prioritization of tasks
  2. Uncontrolled access and unauthorized actions
  3. Slower AI system responses and performance
  4. Increased need for oversight of model actions

Question 65

During an audit of an organization that has adopted AI, it was discovered that data ownership responsibilities were not clearly defined. Which of the following is the MOST likely consequence of this gap?

  1. Higher operational costs for managing data storage solutions
  2. Reduced organizational reliance on AI solutions
  3. Decreased performance of AI models due to redundant data ownership
  4. Increased risk of data breaches due to lack of accountability