Jennifer Wortman Vaughan
Orcid: 0000-0002-7807-2018Affiliations:
- University of California, Los Angeles, USA
According to our database1,
Jennifer Wortman Vaughan
authored at least 88 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on cs.ucla.edu
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on dl.acm.org
On csauthors.net:
Bibliography
2024
2023
SIAM J. Comput., April, 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations.
Proc. ACM Hum. Comput. Interact., 2023
Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments.
CoRR, 2023
Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment.
CoRR, 2023
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions.
CoRR, 2023
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support.
Proc. ACM Hum. Comput. Interact., 2022
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata.
Proc. ACM Hum. Comput. Interact., 2022
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?
CoRR, 2022
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
2021
IEEE Data Eng. Bull., 2021
CoRR, 2021
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning.
Proceedings of the 3rd Workshop on Data Science with Human in the Loop, 2021
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence.
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
2020
ACM Trans. Economics and Comput., 2020
ACM SIGACCESS Access. Comput., 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
2019
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
ACM Trans. Economics and Comput., 2018
Proceedings of the Conference On Learning Theory, 2018
2017
Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research.
J. Mach. Learn. Res., 2017
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems.
J. Artif. Intell. Res., 2016
Proceedings of the 25th International Conference on World Wide Web, 2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
2015
2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the ACM Conference on Economics and Computation, 2014
Proceedings of the ACM Conference on Economics and Computation, 2014
2013
Efficient Market Making via Convex Optimization, and a Connection to Online Learning.
ACM Trans. Economics and Comput., 2013
SIGecom Exch., 2013
Online Decision Making in Crowdsourcing Markets: Theoretical Challenges (Position Paper).
CoRR, 2013
Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013
Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the 4th Human Computation Workshop, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), 2011
2010
Algorithmica, 2010
Proceedings of the Proceedings 11th ACM Conference on Electronic Commerce (EC-2010), 2010
2009
Proc. Natl. Acad. Sci. USA, 2009
2008
Proceedings of the Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), 2008
Proceedings of the Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), 2008
Proceedings of the 21st Annual Conference on Learning Theory, 2008
2007
Proceedings of the Internet and Network Economics, Third International Workshop, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006
2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
2004
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004