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Logics and practices of transparency and opacity in real-world applications of public sector machine learning
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Logics and practices of transparency and opacity in real-world applications of public sector machine learning

Michael Veale
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Papers citing "Logics and practices of transparency and opacity in real-world applications of public sector machine learning"

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Title
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects
Samir Passi
S. Jackson
231
115
0
09 Feb 2020
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
Inioluwa Deborah Raji
Jingyi Yang
92
38
0
12 Dec 2019
The Bouncer Problem: Challenges to Remote Explainability
The Bouncer Problem: Challenges to Remote Explainability
Erwan Le Merrer
Gilles Tredan
57
8
0
03 Oct 2019