Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning
- PMID: 33103976
- PMCID: PMC7695219
- DOI: 10.1080/15265161.2020.1820102
Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning
Comment on
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Identifying Ethical Considerations for Machine Learning Healthcare Applications.Am J Bioeth. 2020 Nov;20(11):7-17. doi: 10.1080/15265161.2020.1819469. Am J Bioeth. 2020. PMID: 33103967 Free PMC article.
References
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- Curtis Cara. 2019. “Study: Women and Ethnic Minorities in Data Science Probably Won’t Get Promoted over White Men.” The Next Web. October 31, 2019. https://thenextweb.com/tech/2019/10/31/study-women-and-ethnic-minorities....
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- Milburn Norweeta G., Beatty Lula, and Lopez Susana A.. 2019. “Understanding, Unpacking, and Eliminating Health Disparities: A Prescription for Health Equity Promotion through Behavioral and Psychological Research-An Introduction.” Cultural Diversity & Ethnic Minority Psychology 25 (1): 1–5. 10.1037/cdp0000266. - DOI - PubMed
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- Myers Blanca. 2018. “Women and Minorities in Tech, By the Numbers.” Wired, March 27, 2018. https://www.wired.com/story/computer-science-graduates-diversity/.
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