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Fairness and Accountability Design Needs for Algorithmic Support in
  High-Stakes Public Sector Decision-Making

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

3 February 2018
Michael Veale
Max Van Kleek
Reuben Binns
ArXiv (abs)PDFHTML

Papers citing "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making"

3 / 103 papers shown
Title
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaMLHAI
280
777
0
13 Dec 2018
A Gradient-Based Split Criterion for Highly Accurate and Transparent
  Model Trees
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees
Klaus Broelemann
Gjergji Kasneci
84
20
0
25 Sep 2018
Manipulating and Measuring Model Interpretability
Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh
D. Goldstein
Jake M. Hofman
Jennifer Wortman Vaughan
Hanna M. Wallach
133
702
0
21 Feb 2018
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