AAIA Practice Test practice questions, page 5 of 23, with answer review and explanations.
Question 21
Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?
Applying data clustering techniques to anonymize data sets
Regularly conducting AI system performance testing for accuracy
Implementing a transparent data consent management process
Enforcing strict data retention policies to limit storage duration
Question 22
An IS auditor is auditing an organization’s data governance framework. The primary objective is to provide assurance that data management practices are standardized to support a trustworthy AI system. Which of the following should be the auditor’s MOST important consideration?
Retention of stored data
Accountability for data management
Data practices for training models
Portability of data
Question 23
An organization’s system development process has been enhanced with AI. Which of the following features presents the GREATEST risk?
All codes are generated by AI without human oversight.
Non-technical users are validating AI results.
The AI personalizes applications for the user.
The AI allocates resources for new system development projects.
Question 24
A retail organization uses an AI model to analyze customers’ purchase history in order to offer personalized discounts. Which of the following practices represents the MOST ethical use of customer data?
Retaining and analyzing all available customer data to ensure unbiased recommendations
Providing the public with access to review and audit the data set of collected customer information
Sharing customer purchase data with third-party vendors to improve advertising and communication
Utilizing customer purchase data only after obtaining explicit consent and allowing customers to opt out
Question 25
In the context of an AI implementation, which of the following actions is MOST critical for an organization's change management program?
Conducting a comprehensive risk assessment specific to AI-related changes
Reviewing documentation for AI system changes, updates, and patches
Verifying that all employees have completed mandatory AI ethics training
Ensuring the organization has a dedicated AI governance committee