Question 25
Domain 5 — AI Assurance, Audit, and Responsible AdoptionIntroduction to AI for Auditors Course: Why is it essential for auditors to understand the lifecycle of AI systems from development to deployment?
Correct answer: A
Explanation
Auditors need to understand the full AI lifecycle because risks can arise at every stage, from design and training to deployment and monitoring. This lets them verify that the system is built and used in line with compliance requirements and ethical standards, rather than only checking the final output.
Why each option is right or wrong
A. To ensure AI systems meet compliance and ethical standards.
The relevant standard is the auditor’s duty to evaluate governance, controls, and compliance across the full system lifecycle, not just the end result; for AI, that means checking design, training, testing, deployment, and ongoing monitoring for alignment with applicable legal and ethical requirements. In practice, this is essential because issues such as biased training data, inadequate validation, or weak post-deployment monitoring can create noncompliance and ethical breaches even if the final output appears acceptable.
B. To develop AI systems for industrial use.
C. To replace traditional auditing methods with AI tools.
D. To predict future trends in AI technology.