Tutorial : breaking myths about AI fairness. The case of biased automated recruitment.
towards data science,
Photo by Christophe Hautier on UnsplashTutorial: Breaking myths about AI fairnessThe case of biased automated recruitmentAfter…
fairmodels: let’s fight with biased Machine Learning models
towards data science,
part 3: mitigationimage by authorTL;DRThe R Package fairmodels facilitates bias detection through model visualizations. It…
Introducing AI Fairness 360
IBM Research,
We are pleased to announce AI Fairness 360 (AIF360), a comprehensive open-source toolkit of metrics to check for unwanted bias…
Two clarifications
mathbabe,
First, I think I over-reacted to automated pricing models (thanks to my buddy Ernie Davis who made me think harder about this).
How to fix recidivism risk models
mathbabe,
Yesterday I wrote a post about the unsurprising discriminatory nature of recidivism models. Today I want to add to that post…
Recidivism risk algorithms are inherently discriminatory
mathbabe,
A few people have been sending me, via Twitter or email, this unsurprising article about how recidivism risk algorithms are…