Examining risks of racial biases in NLP tools for child protective services-Reference-Cited by-同舟云学术

Examining risks of racial biases in NLP tools for child protective services

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Field Anjalie¹^ORCID,Coston Amanda²^ORCID,Gandhi Nupoor²^ORCID,Chouldechova Alexandra³^ORCID,Putnam-Hornstein Emily⁴^ORCID,Steier David⁵^ORCID,Tsvetkov Yulia⁶^ORCID

Affiliation:

1. Computer Science Department, Johns Hopkins University, USA and Language Technologies Institute, Carnegie Mellon University, USA

2. Heinz College of Information Systems and Public Policy and Machine Learning Department, Carnegie Mellon University, USA

3. Microsoft Research NYC, USA and Heinz College of Information Systems and Public Policy, Carnegie Mellon University, USA

4. School of Social Work, University of North Carolina at Chapel Hill, USA

5. Heinz College of Information Systems and Public Policy, Carnegie Mellon University, USA

6. Paul G. Allen School of Computer Science & Engineering, University of Washington, USA

Funder

Allegheny County Department of Human Services

NSF (National Science Foundation)

Alfred P. Sloan Foundation

Block Center for Technology and Society at Carnegie Mellon University

Google

Meta

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3593013.3594094

Reference63 articles.

1. Language (Technology) is Power: A Critical Survey of “Bias” in NLP

2. Su Lin Blodgett , Gilsinia Lopez , Alexandra Olteanu , Robert Sim , and Hanna Wallach . 2021. Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets . In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics , Online , 1004–1015. https://doi.org/10. 1865 3/v1/2021.acl-long.81 10.18653/v1 Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, and Hanna Wallach. 2021. Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, Online, 1004–1015. https://doi.org/10.18653/v1/2021.acl-long.81

3. Toward Algorithmic Accountability in Public Services

4. Children’s Bureau. 2017. Making and Screening Reports of Child Abuse and Neglect. https://www.childwelfare.gov/pubPDFs/repproc.pdf Children’s Bureau. 2017. Making and Screening Reports of Child Abuse and Neglect. https://www.childwelfare.gov/pubPDFs/repproc.pdf

5. Children’s Bureau. 2021. Child Maltreatment 2021. https://www.acf.hhs.gov/cb/report/child-maltreatment-2021 Children’s Bureau. 2021. Child Maltreatment 2021. https://www.acf.hhs.gov/cb/report/child-maltreatment-2021