Jennifer Wortman Vaughan

Most-cited papers

A theory of learning from different domains
Shai Ben-David, John Blitzer, K. Crammer, Alex Kulesza +2 more
2010Machine-mediated learning4,383 citations Open access
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Datasheets for datasets
T. Gebru, Jamie H. Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan +3 more
2018Communications of the ACM3,777 citations Open access
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Learning Bounds for Domain Adaptation
John Blitzer, K. Crammer, Alex Kulesza, Fernando C Pereira +1 more
2007Neural Information Processing Systems539 citations
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Learning from Multiple Sources
K. Crammer, Michael Kearns, Jennifer Wortman Vaughan
2006Neural Information Processing Systems380 citations Open access
Semantic Scholar
Online Task Assignment in Crowdsourcing Markets
Chien-Ju Ho, Jennifer Wortman Vaughan
2012AAAI Conference on Artificial Intelligence367 citations Open access
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AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
Q. Liao, Jennifer Wortman Vaughan
2023Special Issue 4: Grappling With the Generative AI Revolution365 citations Open access
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Adaptive Task Assignment for Crowdsourced Classification
Chien-Ju Ho, S. Jabbari, Jennifer Wortman Vaughan
2013International Conference on Machine Learning295 citations
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"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Sunnie S. Y. Kim, Q. Liao, Mihaela Vorvoreanu, Steph Ballard +1 more
2024Conference on Fairness, Accountability and Transparency218 citations Open access
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The Disparate Effects of Strategic Manipulation
Lily Hu, N. Immorlica, Jennifer Wortman Vaughan
2018FAT192 citations Open access
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Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research
Jennifer Wortman Vaughan
2017Journal of machine learning research189 citations
Semantic Scholar
The true sample complexity of active learning
Maria-Florina Balcan, Steve Hanneke, Jennifer Wortman Vaughan
2010Machine-mediated learning189 citations Open access
Semantic Scholar
Adaptive contract design for crowdsourcing markets: bandit algorithms for repeated principal-agent problems
Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan
2014Journal of Artificial Intelligence Research183 citations Open access
Semantic Scholar
Incentivizing High Quality Crowdwork
Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan
2015The Web Conference161 citations Open access
Semantic Scholar
Toward fairness in AI for people with disabilities SBG@a research roadmap
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, H. Wallach +1 more
2019ACM SIGACCESS Accessibility and Computing151 citations
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Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Liao, Tania Lombrozo +1 more
2025International Conference on Human Factors in Computing Systems128 citations Open access
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A new understanding of prediction markets via no-regret learning
Yi-Ling Chen, Jennifer Wortman Vaughan
2010ACM Conference on Economics and Computation111 citations Open access
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Efficient Market Making via Convex Optimization, and a Connection to Online Learning
J. Abernethy, Yi-Ling Chen, Jennifer Wortman Vaughan
2013TEAC110 citations Open access
Semantic Scholar
The Communication Network Within the Crowd
Ming Yin, Mary L. Gray, Siddharth Suri, Jennifer Wortman Vaughan
2016The Web Conference105 citations
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Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs
S. Barocas, Anhong Guo, Ece Kamar, J. Krones +4 more
2021AAAI/ACM Conference on AI, Ethics, and Society104 citations Open access
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Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge
Hanna Wallach, Meera Desai, A. Cooper, Angelina Wang +16 more
2025International Conference on Machine Learning95 citations
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Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata
A. Heger, Elizabeth B. Marquis, Mihaela Vorvoreanu, H. Wallach +1 more
2022Proc. ACM Hum. Comput. Interact.95 citations Open access
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A Human-Centered Agenda for Intelligible Machine Learning
Jennifer Wortman Vaughan, H. Wallach
202192 citations
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Online decision making in crowdsourcing markets: theoretical challenges
Aleksandrs Slivkins, Jennifer Wortman Vaughan
2013SeCO Workshops88 citations
Semantic Scholar
Group Fairness for the Allocation of Indivisible Goods
Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan
2019AAAI Conference on Artificial Intelligence75 citations Open access
Semantic Scholar
Censored exploration and the dark pool problem
K. Ganchev, Y. Nevmyvaka, Michael Kearns, Jennifer Wortman Vaughan
2009Conference on Uncertainty in Artificial Intelligence73 citations Open access
Semantic Scholar
Oracle-Efficient Online Learning and Auction Design
Miroslav Dudík, Nika Haghtalab, Hai-Peng Luo, R. Schapire +2 more
2016IEEE Annual Symposium on Foundations of Computer Science72 citations Open access
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The Externalities of Exploration and How Data Diversity Helps Exploitation
Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu
2018Annual Conference Computational Learning Theory59 citations
Semantic Scholar
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Liao +1 more
2023arXiv.org51 citations Open access
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Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment
A. Beygelzimer, Y. Dauphin, Percy Liang, Jennifer Wortman Vaughan
2023arXiv.org51 citations Open access
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Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice
A. Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski +31 more
2024arXiv.org49 citations
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From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence
David Alvarez-Melis, Harmanpreet Kaur, Hal Daum'e, H. Wallach +1 more
2021AAAI Conference on Human Computation & Crowdsourcing44 citations Open access
Semantic Scholar
Canvil: Designerly Adaptation for LLM-Powered User Experiences
K. Feng, Q. Liao, Ziang Xiao, Jennifer Wortman Vaughan +2 more
2024International Conference on Human Factors in Computing Systems43 citations Open access
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REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
Jessie J. Smith, Saleema Amershi, S. Barocas, H. Wallach +1 more
2022Conference on Fairness, Accountability and Transparency41 citations Open access
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Towards Social Norm Design for Crowdsourcing Markets
Chien-Ju Ho, Yu Zhang, Jennifer Wortman Vaughan, M. van der Schaar
2012HCOMP@AAAI41 citations
Semantic Scholar
Generation Probabilities Are Not Enough: Uncertainty Highlighting in AI Code Completions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Liao +2 more
2023ACM Trans. Comput. Hum. Interact.40 citations Open access
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Computational social science and social computing
Winter A. Mason, Jennifer Wortman Vaughan, H. Wallach
2014Machine-mediated learning40 citations Open access
Semantic Scholar
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
Zijie J. Wang, Alex Kale, H. Nori, P. Stella +4 more
2022Knowledge Discovery and Data Mining38 citations Open access
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Incentive-Compatible Forecasting Competitions
Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock +1 more
2018AAAI Conference on Artificial Intelligence37 citations Open access
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Evaluating Generative AI Systems is a Social Science Measurement Challenge
Hanna Wallach, Meera Desai, Nicholas Pangakis, A. Cooper +16 more
2024arXiv.org36 citations
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GAM Changer: Editing Generalized Additive Models with Interactive Visualization
Zijie J. Wang, Alex Kale, H. Nori, P. Stella +5 more
2021arXiv.org36 citations
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Using Search Queries to Understand Health Information Needs in Africa
Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, P. Small +1 more
2018International Conference on Web and Social Media36 citations Open access
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GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
Zijie J. Wang, Jennifer Wortman Vaughan, R. Caruana, Duen Horng Chau
2023International Conference on Human Factors in Computing Systems33 citations Open access
Semantic Scholar
An axiomatic characterization of wagering mechanisms
Nicolas S. Lambert, John Langford, Jennifer Wortman Vaughan, Yi-Ling Chen +3 more
2015Journal of Economics Theory31 citations Open access
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Regret Minimization with Concept Drift
K. Crammer, Eyal Even-Dar, Y. Mansour, Jennifer Wortman Vaughan
2010Annual Conference Computational Learning Theory31 citations
Semantic Scholar
Greedy Algorithm almost Dominates in Smoothed Contextual Bandits
Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu
2020SIAM journal on computing (Print)26 citations Open access
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Evolution with Drifting Targets
Varun Kanade, L. Valiant, Jennifer Wortman Vaughan
2010Annual Conference Computational Learning Theory26 citations
Semantic Scholar
Weight of Evidence as a Basis for Human-Oriented Explanations
David Alvarez-Melis, Hal Daum'e, Jennifer Wortman Vaughan, H. Wallach
2019arXiv.org23 citations
Semantic Scholar
Examining the Expanding Role of Synthetic Data Throughout the AI Development Pipeline
Shivani Kapania, Steph Ballard, A. Kessler, Jennifer Wortman Vaughan
2025Conference on Fairness, Accountability and Transparency22 citations Open access
Semantic Scholar
Privacy-Preserving Belief Propagation and Sampling
Michael Kearns, J. Tan, Jennifer Wortman Vaughan
2007Neural Information Processing Systems22 citations
Semantic Scholar
Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work
W. Deng, S. Barocas, Jennifer Wortman Vaughan
2024Proc. ACM Hum. Comput. Interact.20 citations Open access
Semantic Scholar