Search Results for author: Manish Nagireddy

Found 2 papers, 0 papers with code

Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits

no code implementations13 May 2022 Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu

Recent years have seen the development of many open-source ML fairness toolkits aimed at helping ML practitioners assess and address unfairness in their systems.

BIG-bench Machine Learning Fairness

A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms

no code implementations21 Apr 2022 Nil-Jana Akpinar, Manish Nagireddy, Logan Stapleton, Hao-Fei Cheng, Haiyi Zhu, Steven Wu, Hoda Heidari

This stylized setup offers the distinct capability of testing fairness interventions beyond observational data and against an unbiased benchmark.


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