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Author Information
Michael Madaio (Microsoft Research)
Hariharan Subramonyam (Stanford University)
Jennifer Wortman Vaughan (Microsoft Research)

Jenn Wortman Vaughan is a Senior Principal Researcher at Microsoft Research, New York City. Her research background is in machine learning and algorithmic economics. She is especially interested in the interaction between people and AI, and has often studied this interaction in the context of prediction markets and other crowdsourcing systems. In recent years, she has turned her attention to human-centered approaches to transparency, interpretability, and fairness in machine learning as part of MSR's FATE group and co-chair of Microsoft’s Aether Working Group on Transparency. Jenn came to MSR in 2012 from UCLA, where she was an assistant professor in the computer science department. She completed her Ph.D. at the University of Pennsylvania in 2009, and subsequently spent a year as a Computing Innovation Fellow at Harvard. She is the recipient of Penn's 2009 Rubinoff dissertation award for innovative applications of computer technology, a National Science Foundation CAREER award, a Presidential Early Career Award for Scientists and Engineers (PECASE), and a handful of best paper awards. In her "spare" time, Jenn is involved in a variety of efforts to provide support for women in computer science; most notably, she co-founded the Annual Workshop for Women in Machine Learning, which has been held each year since 2006.
More from the Same Authors
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2021 : GAM Changer: Editing Generalized Additive Models with Interactive Visualization »
Zijie Jay Wang · Harsha Nori · Duen Horng Chau · Jennifer Wortman Vaughan · Rich Caruana -
2022 : Generation Probabilities are Not Enough: Improving Error Highlighting for AI Code Suggestions »
Helena Vasconcelos · Gagan Bansal · Adam Fourney · Q.Vera Liao · Jennifer Wortman Vaughan -
2022 : Beyond Decision Recommendations: Stop Putting Machine Learning First and Design Human-Centered AI for Decision Support »
Zana Bucinca · Alexandra Chouldechova · Jennifer Wortman Vaughan · Krzysztof Z Gajos -
2022 : Panel »
Meena Jagadeesan · Avrim Blum · Jon Kleinberg · Celestine Mendler-Dünner · Jennifer Wortman Vaughan · Chara Podimata -
2021 : Methods:: Stakeholder Participation in AI: Beyond “Add Diverse Stakeholders and Stir” »
Qian Yang · Fernando Delgado · Stephen Yang · Michael Madaio -
2021 : Methods:: How Can Human-Centered Design Shape Data-Centric AI? »
Hariharan Subramonyam -
2020 : Q & A and Panel Session with Tom Mitchell, Jenn Wortman Vaughan, Sanjoy Dasgupta, and Finale Doshi-Velez »
Tom Mitchell · Jennifer Wortman Vaughan · Sanjoy Dasgupta · Finale Doshi-Velez · Zachary Lipton -
2017 : The Unfair Externalities of Exploration »
Aleksandrs Slivkins · Jennifer Wortman Vaughan -
2017 : Poster spotlights »
Hiroshi Kuwajima · Masayuki Tanaka · Qingkai Liang · Matthieu Komorowski · Fanyu Que · Thalita F Drumond · Aniruddh Raghu · Leo Anthony Celi · Christina Göpfert · Andrew Ross · Sarah Tan · Rich Caruana · Yin Lou · Devinder Kumar · Graham Taylor · Forough Poursabzi-Sangdeh · Jennifer Wortman Vaughan · Hanna Wallach -
2017 Workshop: Learning in the Presence of Strategic Behavior »
Nika Haghtalab · Yishay Mansour · Tim Roughgarden · Vasilis Syrgkanis · Jennifer Wortman Vaughan -
2017 Poster: A Decomposition of Forecast Error in Prediction Markets »
Miro Dudik · Sebastien Lahaie · Ryan Rogers · Jennifer Wortman Vaughan -
2016 : Jennifer Wortman Vaughan: "The Communication Network Within the Crowd" »
Jennifer Wortman Vaughan -
2016 Tutorial: Crowdsourcing: Beyond Label Generation »
Jennifer Wortman Vaughan -
2014 Workshop: NIPS’14 Workshop on Crowdsourcing and Machine Learning »
David Parkes · Denny Zhou · Chien-Ju Ho · Nihar Bhadresh Shah · Adish Singla · Jared Heyman · Edwin Simpson · Andreas Krause · Rafael Frongillo · Jennifer Wortman Vaughan · Panagiotis Papadimitriou · Damien Peters -
2014 Workshop: NIPS Workshop on Transactional Machine Learning and E-Commerce »
David Parkes · David H Wolpert · Jennifer Wortman Vaughan · Jacob D Abernethy · Amos Storkey · Mark Reid · Ping Jin · Nihar Bhadresh Shah · Mehryar Mohri · Luis E Ortiz · Robin Hanson · Aaron Roth · Satyen Kale · Sebastien Lahaie -
2014 Session: Oral Session 9 »
Jennifer Wortman Vaughan -
2013 Workshop: Crowdsourcing: Theory, Algorithms and Applications »
Jennifer Wortman Vaughan · Greg Stoddard · Chien-Ju Ho · Adish Singla · Michael Bernstein · Devavrat Shah · Arpita Ghosh · Evgeniy Gabrilovich · Denny Zhou · Nikhil Devanur · Xi Chen · Alexander Ihler · Qiang Liu · Genevieve Patterson · Ashwinkumar Badanidiyuru Varadaraja · Hossein Azari Soufiani · Jacob Whitehill -
2011 Workshop: 2nd Workshop on Computational Social Science and the Wisdom of Crowds »
Winter Mason · Jennifer Wortman Vaughan · Hanna Wallach -
2011 Workshop: Relations between machine learning problems - an approach to unify the field »
Robert Williamson · John Langford · Ulrike von Luxburg · Mark Reid · Jennifer Wortman Vaughan -
2010 Workshop: Computational Social Science and the Wisdom of Crowds »
Jennifer Wortman Vaughan · Hanna Wallach -
2007 Spotlight: Privacy-Preserving Belief Propagation and Sampling »
Michael Kearns · Jinsong Tan · Jennifer Wortman Vaughan -
2007 Poster: Privacy-Preserving Belief Propagation and Sampling »
Michael Kearns · Jinsong Tan · Jennifer Wortman Vaughan -
2007 Poster: Learning Bounds for Domain Adaptation »
John Blitzer · Yacov Crammer · Alex Kulesza · Fernando Pereira · Jennifer Wortman Vaughan -
2006 Poster: Learning from Multiple Sources »
Yacov Crammer · Michael Kearns · Jennifer Wortman Vaughan