Towards Real-Time Financial Statement Fraud Detection Using Machine Learning
Автор: Rutgers Accounting Web
Загружено: 2025-10-06
Просмотров: 91
Описание:
Content:
0:22 What and Why?
1:01 Current Models
2:04 How?
3:40 Data and Sample
4:32 Machine Learning Experimental Design
5:25 Findings
5:58 Important Predictors using XAI
6:08 Additional Analysis
6:23 Conclusion
6:45 Next Steps
Description:
In this presentation, Lanxin Jiang, a Ph.D. student, presents on
Towards Real-Time Financial Statement Fraud Detection Using Machine Learning. The presentation, held as part of the AIS Department's activities at the Rutgers University Newark Campus on July 8, 2025, explores how advanced machine learning techniques can be used to detect fraudulent financial reporting in real time.
The study is co-authored by Abigail Parker from the University of Texas at San Antonio and Professor Miklos Vasarhelyi from Rutgers University, and focuses on the development and application of AI-driven models to enhance audit reliability and timeliness in financial fraud detection.
#audit #machinelearning #finance
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