Search Results for author: Michelle Seng Ah Lee

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

Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems

no code implementations26 Jan 2021 Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh

This paper introduces reviewability as a framework for improving the accountability of automated and algorithmic decision-making (ADM) involving machine learning.

Decision Making

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