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Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support


Dec 10, 2021
Michael Madaio, Lisa Egede, Hariharan Subramonyam, Jennifer Wortman Vaughan, Hanna Wallach

* Preprint of paper accepted to the CSCW conference 

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GAM Changer: Editing Generalized Additive Models with Interactive Visualization


Dec 06, 2021
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana

* 7 pages, 15 figures, accepted to the Research2Clinics workshop at NeurIPS 2021. For a demo video, see https://youtu.be/2gVSoPoSeJ8. For a live demo, visit https://interpret.ml/gam-changer/ 

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A Human-Centered Interpretability Framework Based on Weight of Evidence


Apr 27, 2021
David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna Wallach, Jennifer Wortman Vaughan


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Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs


Mar 10, 2021
Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, Duncan Wadsworth, Hanna Wallach


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Greedy Algorithm almost Dominates in Smoothed Contextual Bandits


May 19, 2020
Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu

* Results in this paper, without any proofs, have been announced in an extended abstract (Raghavan et al., 2018a), and fleshed out in the technical report (Raghavan et al., 2018b [arXiv:1806.00543]). This manuscript covers a subset of results from Raghavan et al. (2018a,b), focusing on the greedy algorithm, and is streamlined accordingly 

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No-Regret and Incentive-Compatible Online Learning


Feb 20, 2020
Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan


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Weight of Evidence as a Basis for Human-Oriented Explanations


Oct 29, 2019
David Alvarez-Melis, Hal Daumé III, Jennifer Wortman Vaughan, Hanna Wallach

* Human-Centric Machine Learning (HCML) Workshop @ NeurIPS 2019 

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Toward Fairness in AI for People with Disabilities: A Research Roadmap


Aug 02, 2019
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Meredith Ringel Morris

* ACM ASSETS 2019 Workshop on AI Fairness for People with Disabilities 

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Improving fairness in machine learning systems: What do industry practitioners need?


Jan 07, 2019
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miro Dudík, Hanna Wallach

* To appear in the 2019 ACM CHI Conference on Human Factors in Computing Systems (CHI 2019) 

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Manipulating and Measuring Model Interpretability


Sep 26, 2018
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, Hanna Wallach


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The Disparate Effects of Strategic Manipulation


Aug 28, 2018
Lily Hu, Nicole Immorlica, Jennifer Wortman Vaughan

* 28 pages, 4 figures 

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Datasheets for Datasets


Jul 09, 2018
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumeé III, Kate Crawford

* Working Paper, comments are encouraged 

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The Externalities of Exploration and How Data Diversity Helps Exploitation


Jul 02, 2018
Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu


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Using Search Queries to Understand Health Information Needs in Africa


Jun 14, 2018
Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz


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Oracle-Efficient Online Learning and Auction Design


Apr 13, 2017
Miroslav Dudík, Nika Haghtalab, Haipeng Luo, Robert E. Schapire, Vasilis Syrgkanis, Jennifer Wortman Vaughan


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The Possibilities and Limitations of Private Prediction Markets


Feb 24, 2016
Rachel Cummings, David M. Pennock, Jennifer Wortman Vaughan


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Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems


Sep 02, 2015
Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan

* This is the full version of a paper in the ACM Conference on Economics and Computation (ACM-EC), 2014 

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Market Making with Decreasing Utility for Information


Jul 30, 2014
Miroslav Dudík, Rafael Frongillo, Jennifer Wortman Vaughan

* M. Dudik, R. Frongillo, and J. Wortman Vaughan. Market Making with Decreasing Utility for Information. In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, pages 152-161, 2014 

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Censored Exploration and the Dark Pool Problem


May 09, 2012
Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

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Evolution with Drifting Targets


May 19, 2010
Varun Kanade, Leslie G. Valiant, Jennifer Wortman Vaughan


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A New Understanding of Prediction Markets Via No-Regret Learning


Feb 26, 2010
Yiling Chen, Jennifer Wortman Vaughan


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