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Mitigating Gender Bias in Machine Learning Data Sets

Mitigating Gender Bias in Machine Learning Data Sets

14 May 2020
Susan Leavy
G. Meaney
Karen Wade
Derek Greene
    FaML
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Papers citing "Mitigating Gender Bias in Machine Learning Data Sets"

2 / 2 papers shown
Title
Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms
Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms
Orfeas Menis Mastromichalakis
Giorgos Filandrianos
Maria Symeonaki
Giorgos Stamou
65
0
0
06 Mar 2025
Transcending the "Male Code": Implicit Masculine Biases in NLP Contexts
Transcending the "Male Code": Implicit Masculine Biases in NLP Contexts
Katie Seaborn
Shruti Chandra
Thibault Fabre
23
11
0
22 Apr 2023
1