most citedOptimal experiment design in a filtering context with application to sampled network data

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stat.ML2021

Bias, Fairness, and Accountability with AI and ML Algorithms

Nengfeng Zhou, Zach Zhang, Vijayan N. Nair +3

The advent of AI and ML algorithms has led to opportunities as well as challenges. In this paper, we provide an overview of bias and fairness issues that arise with the use of ML a…