Machine Learning Removes Bias from Algorithms and The Hiring Process

At the premiere Machine Learning Conference (MLConf), November 6, Arena Analytics‘ Chief Data Scientist Patrick Hagerty unveiled a cutting edge technique that removes 92%-99% of latent bias from algorithmic models. If undetected and unchecked, algorithms can learn, automate, and scale existing human and systemic biases.  These models then perpetuate discrimination as they guide decision-makers in selecting people for loans, jobs, criminal investigation, healthcare services, and so much more.