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Project: Fairness in Machine Learning

Mentors/Lab: Prof. Blase Ur, Julia Hanson (BS 2018), Galen Harrison (PhD, CS)/SUPERGroup

Research Area Keywords: Machine Learning // Human-Computer Interaction

I worked on qualitative coding for interviews concerning cloud usage, as well as for data for a fairness in Machine Learning research paper submitted to FAT. I also started a visualization using D3 for sample data from COMPAS.

Project News: The paper that grew out of this research, titled “An Empirical Study on the Perceived Fairness of Realistic, Imperfect Machine Learning Models”, was accepted at the ACM FAT* 2020 Conference.

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