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Transphobia in Algorithms
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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 cissexism’s impact. For example, facial recognition technology has caused several issues for trans people. A trans person’s appearance may change…
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Fighting the Gender Stereotypes That Warp Biomedical Research
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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 research. “She emphasized that sex is biological and gender is a social construct, and that using gender stereotypes to study…
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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 certain groups such as white men. While we understand that inclusivity and diversity are essential for ethical data science practices,…
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Data Brew Season 2, Episode 2: Data Ethics
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Author: Databricks; Publisher: Spotify; Publication Year: 2021. The following podcast episode discusses how in the realm of business and marketing, the regulation of fairness and data ethics are essential elements to consider when building a model. A pressing issue caused by lack of data ethics includes the breeding of disparity when decisions based on data…
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Data Feminism Presents an Intersectional Feminist Way to Think About Data Science and Ethics
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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 from the United States. The world was designed for him and he may not think about how the world may…
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Invisible Women
Author: Caroline Criado Perez; Publisher: Vintage Books; Publication Year: 2020. The following book shows us how bias exists in even the most innocuous of circumstances. In systems that are primarily designed for and by men, many systematically ignore the female half of the population. Criado Perez provides case studies from nearly every sect to showcase…
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We Need to Close the Gender Data Gap By Including Women in Our Algorithms
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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 include the fact that cars are 71% less safe for women because they are tested using make crash dummies, or…
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AI Bias Could Put Women’s Lives At Risk – A Challenge For Regulators
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Author: 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 paper released for the European Union on the regulation of artificial intelligence includes requirements for algorithm builders to act against…
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Gendered Language in Teacher Reviews
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Author: Ben Schmidt; Publisher: Ben Schmidt (Personal Website); Publication Year: 2015. The interactive visualization here allows users to input words to query 14 million Rate My Professor reviews and see the splits in occurrence for gender across different school departments, as well for positive and negative reviews. Negative words generally occur more often for female…
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The Ethics of Digital Voice Assistants
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Author: Beatriz Suarez; Publisher: Viterbi Conversations in Ethics; Publication Year: 2021. In the following article, the author discusses the ethics of voice assistants like Siri and Alexa. The way they are currently designed, voice assistants enable and even encourage certain stereotypes in their users. The social relationship we have with computers is something that has…
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