Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau’s Adoption of Differential Privacy-Reference-Cited by-同舟云学术

Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau’s Adoption of Differential Privacy

Published:2024-06-03 Issue: Volume:85 Page:1150-1162
ISSN:
Container-title:The 2024 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Abdu Amina A.¹^ORCID,Chambers Lauren M.²^ORCID,Mulligan Deirdre K.²^ORCID,Jacobs Abigail Z.¹^ORCID

Affiliation:

1. University of Michigan, United States of America

2. University of California, Berkeley, United States of America

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3630106.3658962

Reference136 articles.

1. 2021. Alabama v. U.S. Dep’t of Commerce. 546 F. Supp. 3d 1057 (M.D. Ala.).

2. Roles for computing in social change

3. John Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Micah Heineck, Christine Heiss, Robert Johns, Daniel Kifer, Philip Leclerc, Ashwin Machanavajjhala, Brett Moran, William Sexton, Matthew Spence, and Pavel Zhuravlev. 2022. The 2020 Census Disclosure Avoidance System TopDown Algorithm. Harvard Data Science ReviewSpecial Issue 2 (jun 24 2022). https://hdsr.mitpress.mit.edu/pub/7evz361i.

4. John M. Abowd. 2018. Disclosure Avoidance for Block Level Data and Protection of Confidentiality in Public Tabulations. https://www2.census.gov/cac/sac/meetings/2018-12/abowd-disclosure-avoidance.pdf

5. John M. Abowd. 2018. Protecting the Confidentiality of America’s Statistics: Adopting Modern Disclosure Avoidance Methods at the Census Bureau. https://www.census.gov/newsroom/blogs/research-matters/2018/08/protecting_the_confi.html Section: Government.