Michael Cohen

Fairgen is a case-independent method for identifying occurrences of bias in machine learning algorithms and their supporting data sets and taking corrective action. It is a platform-independent tool for detecting, mitigating, and responding to bias in machine learning models and their underlying data sets. Customers benefit from our data-centricapproach, which makes integration simple. The company's automated systems should ensure that all customers, regardless of their profile, are treated fairly.