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Jessica Hullman

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Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling

Jan 30, 2024
Dongping Zhang, Angelos Chatzimparmpas, Negar Kamali, Jessica Hullman

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A Statistical Framework for Measuring AI Reliance

Jan 27, 2024
Ziyang Guo, Yifan Wu, Jason Hartline, Jessica Hullman

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Decision Theoretic Foundations for Experiments Evaluating Human Decisions

Jan 25, 2024
Jessica Hullman, Alex Kale, Jason Hartline

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Pre-registration for Predictive Modeling

Nov 30, 2023
Jake M. Hofman, Angelos Chatzimparmpas, Amit Sharma, Duncan J. Watts, Jessica Hullman

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REFORMS: Reporting Standards for Machine Learning Based Science

Aug 15, 2023
Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan

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Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research

Aug 10, 2023
Hariharan Subramonyam, Jessica Hullman

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The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning

Apr 06, 2022
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan

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Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs

May 30, 2020
Sungsoo Ray Hong, Jessica Hullman, Enrico Bertini

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