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

Inioluwa Deborah Raji

Type: Article

Publication Date: 2020-11-01

Citations: 8

DOI: https://doi.org/10.1016/j.patter.2020.100150

Abstract

The contribution of Black female scholars to our understanding of data and their limits of representation hint at a more empathetic vision for data science that we should all learn from.

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+	Diversity in Faces.	2019	Michele Merler Nalini Ratha Rogério Feris John R. Smith
+	Lessons from archives: strategies for collecting sociocultural data in machine learning	2020	Eun Seo Jo Timnit Gebru
+ PDF Chat	Model Cards for Model Reporting	2019	Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru