Blind Justice: Algorithms and Neutrality in the Case of Redistricting
Document Type
Article
Publication
ACM Digital Library, Association for Computing Machinery
Year
2022
Citation Information
Moon Duchin & Douglas Spencer, Blind Justice: Algorithms and Neutrality in the Case of Redistricting, CSLAW'22: Proc. of the 2022 Symp. Computer Sci. L. 101 (2022), https://dl.acm.org/doi/10.1145/3511265.3550440.
DOI
https://dl.acm.org/doi/10.1145/3511265.3550440
Abstract
In several areas of law and public policy, there have been longstanding dreams that computers can secure decision making that takes only some things into account, while remaining demonstrably neutral to other factors. In 2022, the U.S. Supreme Court will consider mandating race-neutrality in multiple domains, notably in college admissions and redistricting. In this piece, we clarify the real and imagined uses of computers in redistricting, considering their application for optimization approaches and, more recently, for representative sampling. The current pitch to the Court for a race-blind Voting Rights Act is discussed at length.
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