Defaults

Discriminating Data

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Author: Wendy Hui Kyong Chun; Publisher: MIT Press; Publication Year: 2021. The following book discusses the innate bias that comes from dirty data and how removing indicators of race will not remove bias from artificial intelligence. The author explains several concepts including: alternative algorithms, defaults, and interdisciplinary coalitions to foster more ethical/democratic data…

Handle with Care: Lessons for Data Science from Black Female Scholars

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Author: Inioluwa Deborah Raji; Publisher: Patterns; Publication Year: 2020. The following article begins by confronting the idea that data science aims to reduce people to one dimensional ideas or stereotypes. When individuals or organizations attempt to compress groups into a model or algorithm, this can create or perpetuate stereotypes. These reductions of individuals can have harmful effects. The article continues to…