Identifying Early Indicators of Financial Reporting Irregularities

This project explores how modern AI-based analytical approaches can help identify patterns potentially associated with irregularities in financial reporting. By examining publicly observable signals and organizational characteristics, the study aims to provide insights into how data-driven methods may contribute to a better understanding of factors that precede reporting-related issues.