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Factors Influencing Perceived Fairness in Algorithmic Decision-Making:
Algorithm Outcomes, Development Procedures, and Individual Differences

Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences

27 January 2020

Haiyi Zhu

Papers citing "Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences"

7 / 7 papers shown

Title
Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools? Tin Trung Nguyen Jiannan Xu Phuong-Anh Nguyen-Le Jonathan Lazar Donald Braman Hal Daumé III Zubin Jelveh 31 0 0 15 May 2025
Statistically Testing Training Data for Unwanted Error Patterns using Rule-Oriented Regression Stefan Rass Martin Dallinger 63 0 0 24 Mar 2025
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 95 413 0 20 Oct 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 86 1,094 0 06 Mar 2018
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 28 990 0 27 Mar 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 98 2,854 0 14 Mar 2017
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 73 1,762 0 19 Sep 2016

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