Category: Education & Training
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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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How to Tackle Microaggressions in the Digital Workplace
Author: Kaya Ismail; Publisher: Reworked; Publication Year: 2022. The following article describes how microaggressions are subtle acts of discrimination that are not overt. Especially gender-based or racial-based microaggressions, such as pathologizing cultural values or communication…
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AI & Data Fairness & Bias
Author: Kathleen Walch, Ronald Schmelzer; Publisher: AI & Data Today; Publication Year: N/A. The following podcast focusses on how building frameworks can help avoid the pitfalls associated with bias and fairness in artificial intelligence (AI).…
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The Gig Workers Fighting Back Against the Algorithms
Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2022. In the following article, Karen Hao writes the fourth story in a 5 part series on artificial intelligence (AI) colonialism. Nadine Freischlad, an Indonesian-based journalist,…
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A New Vision of Artificial Intelligence for the People
Algorithms, Artificial Intelligence, Assimilation, Colonialism, Community Data, Data Collection, Maori Language, Natural Language Processing TechnologyAuthor: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2022. In the following article, Karen Hao writes the final story in a 5 part series on artificial intelligence (AI) colonialism. Parts 1 through 4 were…
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Top 9 ethical issues in artificial intelligence
Artificial Intelligence, Artificial Stupidity, Evil Genies, Humanity, Inequality, Racist Robots, Robot Rights, Singularity, UnemploymentAuthor: Julia Bossmann; Publisher: World Economic Forum; Publication Year: 2016. The following article discusses 9 ethical issues with the use of artificial intelligence (AI) and the corresponding questions that should be asked: 1). Unemployment: What…
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Gender Shades
Author: Joy Buolamwini, Timnit Gebru; Publisher: MIT Media Lab; Publication Year: 2018. The following video discusses the Gender Shades project which evaluates the bias of 3 commercial artificial intelligence (AI) gender classification products (Microsoft, Face++,…
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Race, Technology, and Algorithmic Bias
Author: Joy Buolamwini, Latanya Sweeney, and Darren Walker; Publisher: Radcliffe Institute for Advanced Study, Harvard University; Publication Year: 2019. The following video documents a conversation between Joy Buolamwini, Latanya Sweeney, and Darren Walker. Leading the…
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IBM Leads, More Should Follow: Racial Justice Requires Algorithmic Justice
Author: Joy Buolamwini, Aaina Agarwal, and Sasha Costanza-Chock; Publisher: The Medium; Publication Year: 2020. The following article applauds IBM for the decision to restrict sales of facial recognition technology in response to bias and abuse.…