Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities

1 May 2023

Papers citing "Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities"

3 / 3 papers shown

Title
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 41 88 0 13 May 2022
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects Samir Passi S. Jackson 171 108 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