New Research Article on Algorithmic Fairness

11/08/2022

How does imputation of missing data impact the fairness of predictions from Machine Learning (ML) models?

This important, yet previously under-addressed question is the focus of a newly published article in the Journal of Artificial Intelligence Research. Together with colleagues from Ireland and the US, CSBA director Dr. Christian Haas shows that different imputation strategies can have a significant effect on the resulting fairness of predictions, raising awareness that Algorithmic Fairness considerations need to be considered in all steps of a Data Analytics and Machine Learning pipeline.

Read the (open access) article here.