# Predicting Financial Crime: Augmenting the Predictive Policing Arsenal

arXiv: https://arxiv.org/abs/1704.07826 · HTML: https://mlsanity.com/paper/1704.07826/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Apr 2017.

## Built on by (most cited first, 2 of 2)

- [Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) -- Potentials and Pitfalls for Top-down and Bottom-up Approaches](https://mlsanity.com/paper/2102.11567/) (2021)
- [Towards Artificial Intelligence Enabled Financial Crime Detection](https://mlsanity.com/paper/2105.10866/) (2021)

## Abstract (arXiv)

Financial crime is a rampant but hidden threat. In spite of this, predictive policing systems disproportionately target "street crime" rather than white collar crime. This paper presents the White Collar Crime Early Warning System (WCCEWS), a white collar crime predictive model that uses random forest classifiers to identify high risk zones for incidents of financial crime.