Fairkit, fairkit, on the wall, who’s the fairest of them all? Supporting fairness-related decision-making-Reference-Cited by-同舟云学术

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Fairkit, fairkit, on the wall, who’s the fairest of them all? Supporting fairness-related decision-making

Published:2023 Issue: Volume:11 Page:100031
ISSN:2193-9438
Container-title:EURO Journal on Decision Processes
language:en
Short-container-title:EURO Journal on Decision Processes

Author:

Johnson Brittany,Bartola Jesse,Angell Rico,Witty Sam^ORCID,Giguere Stephen,Brun Yuriy^ORCID

Funder

Google

National Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics,Business, Management and Accounting (miscellaneous),Statistics and Probability,General Decision Sciences

Reference88 articles.

1. Iterative orthogonal feature projection for diagnosing bias in black-box models;Adebayo;CoRR,2016

2. FairML: ToolBox for diagnosing bias in predictive modeling;Adebayo,2016

3. A reductions approach to fair classification;Agarwal,2018

4. How the GDPR will change the world;Albrecht;Eur. Data Prot. Law Rev.,2016

5. Machine Bias;Angwin,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning;IEEE Transactions on Visualization and Computer Graphics;2024-01

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