How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions-Reference-Cited by-同舟云学术

How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions

Published:2022-04-27 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems
language:
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Author:

Cheng Hao-Fei¹,Stapleton Logan²,Kawakami Anna³,Sivaraman Venkatesh³,Cheng Yanghuidi³,Qing Diana⁴,Perer Adam³,Holstein Kenneth³,Wu Zhiwei Steven⁵,Zhu Haiyi⁶

Affiliation:

1. Human-Computer Interaction Institute, Carnegie Mellon University, United States and GroupLens Research, University of Minnesota, USA

2. GroupLens Research, University of Minnesota, United States and School of Computer Science, Carnegie Mellon University, USA

3. Human-Computer Interaction Institute, Carnegie Mellon University, United States

4. University of California, Berkeley, United States

5. School of Computer Science, Carnegie Mellon University, United States

6. Human Computer Interaction Institute, Carnegie Mellon University, United States

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491102.3501831

Reference100 articles.

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2. Calculating the Souls of Black Folk

3. Discussion Paper Series 85;Albright Alex,2019

4. Street-Level Algorithms

5. (DHS) Allegheny County Department of Human Services. [n.d.]. DHS response to Automated Inequality by Virginia Eubanks. https://www.alleghenycounty.us/WorkArea/linkit.aspx?LinkIdentifier=id&ItemID=6442461672 (DHS) Allegheny County Department of Human Services. [n.d.]. DHS response to Automated Inequality by Virginia Eubanks. https://www.alleghenycounty.us/WorkArea/linkit.aspx?LinkIdentifier=id&ItemID=6442461672

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