Natural Language Processing (NLP) enables systems to understand, summarize, and extract relevant insights from unstructured text data such as contracts, emails, or reports. The AAIA™ Study Guide recognizes NLP as the optimal tool for document review during audit planning or risk assessment phases.
“NLP techniques can efficiently process large volumes of documentation, highlight key clauses, and identify inconsistencies or risk indicators. This enhances audit productivity and thoroughness.”
While RPA (A) automates repetitive tasks, it doesn’t interpret content. Predictive analytics (C) forecasts trends, and autoregressive models (B) generate sequences, not summarize documents.
[Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: “AI in Audit Processes,” Subsection: “NLP Applications in Audit Planning and Risk Identification”]
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