An AI document intelligence framework enables population-level audit testing of unstructured PDFs by extracting data with limited labels and reconciling against source records for continuous assurance.
Behavioral implications of big data’s impact on audit judgment and decision making
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Automated Population-Level Audit Assurance via AI-Based Document Intelligence
An AI document intelligence framework enables population-level audit testing of unstructured PDFs by extracting data with limited labels and reconciling against source records for continuous assurance.