During an audit, the auditor employed data analytic technology to identify anomalies and unusual patterns...

The question refers to the auditor using technology to uncover anomalies and patterns in decision-making — this is characteristic of data mining.

Data mining is the process of discovering patterns, correlations, and anomalies from large datasets using statistical and computational techniques. It is commonly used during AI audits to detect inconsistencies or risks hidden in the data that may affect ethical or regulatory compliance.

* Predictive analytics is focused on forecasting future outcomes.

* Text analytics deals with extracting insights from unstructured text.

* Sentiment analysis specifically focuses on emotional tone, not decision-making anomalies.