The Impossible Theorem of Fairness

Files

Authors

Man Nguyen '22, Hamilton College

Type of Work

Poster

Publication Date

4-2022

Description

With the growth of machine learning, there has been an increase of machine biases that can cause wrongful discrimination. In the case of implementing “fairness,” several conceptions of bias were created to target a fair system. However, statisticians have found that these conceptions contradict one another. Thus, we run into an impossible conundrum of fairness in machine learning. In cases that high risk, we want to investigate the best fairness measures if one is possible. Moreover, we would like to determine when these fairness measures fail or what conditions must be met for them to succeed.

Hamilton Areas of Study

Mathematics

Hamilton Course

MATH-498: Mathematics in Social Context

Hamilton Faculty Advisor

Courtney Gibbons