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A Methodology for Creating AI FactSheets

Jun 28, 2020
John Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilović

* 18 pages 

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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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Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning

Jun 05, 2019
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilović

* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA. arXiv admin note: substantial text overlap with arXiv:1805.11648 

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Understanding Innovation to Drive Sustainable Development

Jun 15, 2016
Prasanna Sattigeri, Aurélie Lozano, Aleksandra Mojsilović, Kush R. Varshney, Mahmoud Naghshineh

* presented at 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, New York, NY 

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