Toward Algorithmic Accountability in Public Services-Reference-Cited by-同舟云学术

Toward Algorithmic Accountability in Public Services

Published:2019-05-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
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Author:

Brown Anna¹,Chouldechova Alexandra²,Putnam-Hornstein Emily³,Tobin Andrew¹,Vaithianathan Rhema⁴

Affiliation:

1. College of Creative Arts, Massey University, Wellington, New Zealand

2. Carnegie Mellon University & Microsoft Research, Pittsburgh, PA, USA

3. University of Southern California, Los Angeles, CA, USA

4. Auckland University of Technology, Auckland, New Zealand

Funder

SIGKDD

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3290605.3300271

Reference45 articles.

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2. Julia Angwin Jeff Larson Surya Mattu and Lauren Kirchner. 2016. Machine Bias. (2016). https://www.propublica.org/article/ machine-bias-risk-assessments-in-criminal-sentencing Julia Angwin Jeff Larson Surya Mattu and Lauren Kirchner. 2016. Machine Bias. (2016). https://www.propublica.org/article/ machine-bias-risk-assessments-in-criminal-sentencing

3. Toi Aria. 2017. Our data our way. https://trusteddata.co.nz/massey_ our_data_our_way.pdf Toi Aria. 2017. Our data our way. https://trusteddata.co.nz/massey_ our_data_our_way.pdf

4. 'It's Reducing a Human Being to a Percentage'

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