Which of the following is the GREATEST benefit of using AI to evaluate data quality...

Traditional data quality checks often rely on manual sampling, which can miss rare but significant errors. AI-driven audit tools can analyze 100% of a population to " identify outliers " that represent data errors, anomalies, or potential fraud. According to the AAIA™ framework, identifying these outliers is crucial because " dirty data " can fundamentally skew AI model predictions and audit conclusions. By automating the detection of data inconsistencies, auditors can focus their manual efforts on investigating high-risk items, thereby increasing both the accuracy of the audit and the overall reliability of the data used for model training.