Recent papers have been highly promotional of the benefits of machine learning in the detection of corporate fraud. For example, Bao, Ke, Li, Yu, and Zhang (2020) recently published in the Journal of Accounting Research report that their machine learning model increases performance by +75% above...

The purpose of this dissertation was to study why corporate fraud detection models are often met with skepticism by industry practitioners despite a vast literature supporting their use. This dissertation examined the parsimonious standards in the academic literature for corporate fraud...