Tag: Gender
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Transphobia in Algorithms
Author: Kelsey Campbell; Publisher: Gay TA Science; Publication Year: 2021. In the following talk, Kelsey explains how the cissexism present in society today impacts data science as a field. They give examples from real-life on…
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Fighting the Gender Stereotypes That Warp Biomedical Research
Author: JoAnna Klein; Publisher: The New York Times; Publication Year: 2019. The following article discusses how the stereotypes and bias in medical research (and more generally) resulted in mainly male animals being used in biomedical…
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Incorporate Inclusivity
Author: Data Science Ethics Podcast Publisher: Spotify Publication Year: 2020 Summary: The following podcast episode discusses how gender and racial gaps exist in the field of data science as it tends to be dominated by…
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Data Feminism Presents an Intersectional Feminist Way to Think About Data Science and Ethics
Author: Catherine D’Ignazio and Lauren Klein; Publisher: Ms. Magazine; Publication Year: 2020. The following article discusses how the dominant group of data scientists today are straight, white, cisgender man who has formal credentials and is…
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We Need to Close the Gender Data Gap By Including Women in Our Algorithms
Author: Caroline Criado Perez; Publisher: Time Magazine; Publication Year: 2020. The following article describes the way that so many aspects of our society is designed with men in mind instead of women. Examples of this…
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AI Bias Could Put Women’s Lives At Risk – A Challenge For Regulators
Artificial Intelligence, Data Collection, Discrimination, European Union, Gender, Gender Bias, Gender GapAuthor: Carmen Neithammer; Publisher: Forbes; Publication Year: 2020. The following article touches on the bias that is introduced into algorithms by using data sets that are comprised mainly of information about the male population. A…