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User Acceptance of Gender Stereotypes in Automated Career Recommendations

User Acceptance of Gender Stereotypes in Automated Career Recommendations

Clarice Wang
Kathryn Wang
Andrew Bian
Rashidul Islam
Kamrun Naher Keya
James Foulde
Shimei Pan
    FaML
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Papers citing "User Acceptance of Gender Stereotypes in Automated Career Recommendations"

2 / 2 papers shown
Title
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
130
1,094
0
06 Mar 2018
Beyond Parity: Fairness Objectives for Collaborative Filtering
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao
Bert Huang
FaML
35
365
0
24 May 2017

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