The Power of Absence: Thinking with Archival Theory in Algorithmic Design

Author:

Sherman Jihan1ORCID,Morrison Romi2ORCID,Klein Lauren3ORCID,Rosner Daniela4ORCID

Affiliation:

1. Estelle + Boots, United States

2. University of California, Los Angeles, United States

3. Quantitative Theory & Methods, Emory University, United States

4. Human Centered Design & Engineering, University of Washington, United States

Funder

NSF

Publisher

ACM

Reference82 articles.

1. 2023. "FACT SHEET: Biden-Harris Administration Takes Sweeeping Action to Address Racial Bias in Home Valuations". https://www.whitehouse.gov/briefing-room/statements-releases/2023/06/01/fact-sheet-biden-harris-administration-takes-sweeping-action-to-address-racial-bias-in-home-valuations/

2. 2024. BIAS Project. https://www.biasproject.eu/project-overview/#: :text=Welcome%20to%20BIAS addressing%20and%20mitigating%20algorithmic%20biases

3. 2024. Colored Conventions Corpus. https://coloredconventions.org/about-records/ccp-corpus/

4. 2024. The IEEE Global Initiative. https://standards.ieee.org/industry-connections/ec/autonomous-systems/

5. Julia Angwin and Jeff Larson. 2016. Bias in Criminal Risk Scores Is Mathematically Inevitable, Researchers Say. ProPublica (Dec. 2016). https://www.propublica.org/article/bias-in-criminal-risk-scores-is-mathematically-inevitable-researchers-say

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