MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities

3 March 2023

Papers citing "MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities"

8 / 8 papers shown

Title
Using Quality Attribute Scenarios for ML Model Test Case Generation Rachel A. Brower-Sinning Grace A. Lewis Sebastían Echeverría Ipek Ozkaya 35 0 0 12 Jun 2024
Law and the Emerging Political Economy of Algorithmic Audits P. Terzis Michael Veale Noëlle Gaumann MLAU 32 6 0 03 Apr 2024
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability Avinash Bhat Austin Coursey Grace Hu Sixian Li Nadia Nahar Shurui Zhou Christian Kastner Jin L. C. Guo 35 23 0 13 Apr 2022
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 273 0 28 Sep 2021
Towards Guidelines for Assessing Qualities of Machine Learning Systems Julien Siebert Lisa Joeckel J. Heidrich K. Nakamichi Kyoko Ohashi I. Namba Rieko Yamamoto M. Aoyama 28 47 0 25 Aug 2020
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects Samir Passi S. Jackson 168 108 0 09 Feb 2020
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017