Review
Open access
2026
Understanding the impossibility of machine learning fairness with data examples
An example of its application in the legal field that explores the existing biases in models today is presented and it is hypothesized that the fairness criteria being evaluated cannot all three be satisfied simultaneously, leading to a machine learning model that remains unfair.
Keshav Pillutla, Kevin Fry
· Journal of emerging investig... · 0 citations