Document Type
Article
Publication
Proceedings of the 2022 Symposium on Computer Science and Law (CSLAW ’22), November 1–2, 2022, Washington, DC, USA.
Year
2022
Citation Information
Douglas M. Spencer and Moon Duchin, Blind Justice: Algorithms and Neutrality in the Case of Redistricting, Proceedings of the 2022 Symposium on Computer Science and Law (CSLAW ’22), November 1–2, 2022, Washington, DC, USA. 101 (2022), available at https://scholar.law.colorado.edu/faculty-articles/1910.
Abstract
In several areas of law and public policy, there have been longstanding dreams that computers can secure decisionmaking 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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