Which of the following sampling strategies would MOST likely involve the use of AI?

" Adaptive sampling " in an AI context refers to a strategy where the sampling process evolves based on the results of previous samples. AI algorithms can analyze initial findings to identify high-risk clusters or patterns, then automatically shift the sampling focus to those areas. This is significantly more efficient than traditional systematic or statistical sampling for finding " needles in haystacks, " such as fraud. The ISACA AAIA™ manual highlights that AI-enabled audit tools use adaptive logic to prioritize testing where anomalies are most likely to exist, thereby increasing the effectiveness of the audit.