Question 18
Domain 5 — AI Assurance, Audit, and Responsible AdoptionAuditing Generative AI Course: What is a significant risk that must be addressed during the auditing process of AI systems?
Correct answer: D
Explanation
Bias in AI systems is a significant audit risk because auditing must check whether the model produces unfair or skewed outcomes across groups. In AI governance, bias can lead to discriminatory decisions, so auditors look for “bias in AI systems” and related harms in training data, model behavior, and outputs.
Why each option is right or wrong
A. Over-reliance on manual processes
B. High computational costs
C. Lack of user interface design
D. Bias in AI systems
Audits of AI systems are expected to test for discriminatory or skewed outcomes across protected or relevant user groups, because biased training data or model behavior can produce unfair decisions in deployment. In practice, this is a core governance risk: auditors examine data, outputs, and performance disparities to identify whether the system systematically favors or disadvantages certain groups, which is why bias is the material concern here.