Beyond simple red flags: How AI is changing financial misreporting detection
Slides from my speech at the 43rd Annual Meeting of the International Accounting Research Association
Tagged in
fraud detection
Demystifying Analytics, AI, and Machine Learning
This talk focuses on data analytics, AI, and machine learning, examinig different uses cases for methods. Examples include portfolio allocation using statistics, misreporting detection using machine learning, and transformer neural network applications.
Misreporting Detection: Past to Future
This talk extends on Brown, Crowley, and Elliott (2020, JAR) by discussing time-variation in misreporting predictability and demonstrating the effectiveness of nonparametric ML-based methods for prediction.
A deep dive into Brown, Crowley, and Elliott (2020)
Summer camp lecture presented to the IIM Calcutta Summer Camp, 2021
Using Machine Learning to Detect Financial Fraud, 2021
Public lecture on “Using Machine Learning to Detect Financial Fraud.”