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Impact of Imputation Strategies on Fairness in Machine Learning

11/08/2022

Article of Simon Caton, Saiteja Malisetty and Christian Haas

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.

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