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20192024
most citedCERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models

191 citations · 212 across the 9 of their papers we have counts for

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Showing 2020Show all

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cs.LG2020

FaiR-N: Fair and Robust Neural Networks for Structured Data

Shubham Sharma, Alan H. Gee, David Paydarfar +1

Fairness in machine learning is crucial when individuals are subject to automated decisions made by models in high-stake domains. Organizations that employ these models may also ne…