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An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness


Sep 29, 2021
Moninder Singh, Gevorg Ghalachyan, Kush R. Varshney, Reginald E. Bryant

* presented at the 2021 KDD Workshop on Measures and Best Practices for Responsible AI 

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AI Explainability 360: Impact and Design


Sep 24, 2021
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang

* arXiv admin note: text overlap with arXiv:1909.03012 

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Your fairness may vary: Group fairness of pretrained language models in toxic text classification


Aug 03, 2021
Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Mikhail Yurochkin, Moninder Singh


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Understanding racial bias in health using the Medical Expenditure Panel Survey data


Nov 04, 2019
Moninder Singh, Karthikeyan Natesan Ramamurthy

* 8 pages, 8 tables 

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One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques


Sep 14, 2019
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilović, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang


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AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias


Oct 03, 2018
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang

* 20 pages 

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Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration


Sep 21, 2018
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush Varshney, Murray Campbell, Moninder Singh, Francesca Rossi

* 8 pages, 3 figures 

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An Algorithm for the Construction of Bayesian Network Structures from Data


Mar 06, 2013
Moninder Singh, Marco Valtorta

* Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993) 

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