Attrition of Workers with Minoritized Identities on AI Teams-Reference-Cited by-同舟云学术

Attrition of Workers with Minoritized Identities on AI Teams

Published:2022-10-06 Issue: Volume: Page:
ISSN:
Container-title:Equity and Access in Algorithms, Mechanisms, and Optimization
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Author:

Brown Jeffrey¹,Park Tina²,Chang Jiyoo²,Andrus Mckane²,Xiang Alice³,Custis Christine²

Affiliation:

1. Department of Counseling and School Psychology, San Diego State University, USA and Partnership on AI, USA

2. Partnership on AI, USA

3. Sony AI, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551624.3555304

Reference35 articles.

1. Adobe . ( 2021 ). Adobe Diversity By the Numbers. Adobe. Retrieved 24 November 2021, from https://www.adobe.com/diversity/data.html. Adobe. (2021). Adobe Diversity By the Numbers. Adobe. Retrieved 24 November 2021, from https://www.adobe.com/diversity/data.html.

2. Amazon Staff . ( 2020 ). Our workforce data. US About Amazon. Retrieved 24 November 2021, from https://www.aboutamazon.com/news/workplace/our-workforce-data. Amazon Staff. (2020). Our workforce data. US About Amazon. Retrieved 24 November 2021, from https://www.aboutamazon.com/news/workplace/our-workforce-data.

3. Ashcraft , C. , McLain , B. , & Eger , E. ( 2017 ). Women in Tech: The facts [Ebook] . National Center for Women in Tech. Retrieved 24 November 2021, from https://wpassets.ncwit.org/wp-content/uploads/2021/05/13193304/ncwit_women-in-it_2016full-report_final-web06012016.pdf. Ashcraft, C., McLain, B., & Eger, E. (2017). Women in Tech: The facts [Ebook]. National Center for Women in Tech. Retrieved 24 November 2021, from https://wpassets.ncwit.org/wp-content/uploads/2021/05/13193304/ncwit_women-in-it_2016full-report_final-web06012016.pdf.

4. Buolamwini , J. , & Gebru , T. ( 2018 , January). Gender shades: Intersectional accuracy disparities in commercial gender classification . In Conference on fairness, accountability and transparency (pp. 77-91) . PMLR. Buolamwini, J., & Gebru, T. (2018, January). Gender shades: Intersectional accuracy disparities in commercial gender classification. In Conference on fairness, accountability and transparency (pp. 77-91). PMLR.

5. The Whiteness of AI