During an audit, the auditor employed data analytic technology to identify anomalies and unusual patterns in the decision-making processes of an AI system used by a financial institution to approve…

The correct answer is C. Data mining. 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…

Audit Techniques and Tools

Question

During an audit, the auditor employed data analytic technology to identify anomalies and unusual patterns in the decision-making processes of an AI system used by a financial institution to approve or reject loan applications. Which data analytic technology did the auditor use?

Options

APredictive analytics
BText analytics
CData mining
DSentiment analysis

How the community answered

(16 responses)

B
19% (3)
C
75% (12)
D
6% (1)

Explanation

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.

Topics

#data analytics#data mining#anomaly detection#AI system audit

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