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AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models

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 T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang. AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. Journal of Machine Learning Research, 21, 2020. [doi]

Authors

Vijay Arya

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Rachel K. E. Bellamy

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Pin-Yu Chen

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Amit Dhurandhar

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Michael Hind

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Samuel C. Hoffman

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Stephanie Houde

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Q. Vera Liao

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Ronny Luss

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Aleksandra Mojsilovic

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Sami Mourad

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Pablo Pedemonte

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Ramya Raghavendra

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John T. Richards

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Prasanna Sattigeri

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Karthikeyan Shanmugam

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Moninder Singh

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Kush R. Varshney

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Dennis Wei

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Yunfeng Zhang

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