One model many scores: Using multiverse analysis to prevent fairness hacking and evaluate the influence of model design decisions


Simson, Jan ; Pfisterer, Florian ; Kern, Christoph



DOI: https://doi.org/10.1145/3630106.3658974
URL: https://dl.acm.org/doi/10.1145/3630106.3658974
Document Type: Conference or workshop publication
Year of publication: 2024
Book title: FAccT '24, The 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro Brazil, June 3-6, 2024
Page range: 1305-1320
Conference title: The 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24)
Location of the conference venue: Rio de Janeireo, Brazil
Date of the conference: 03.-06.06.2024
Place of publication: New York, NY
Publishing house: Association for Computing Machinery
ISBN: 979-8-4007-0450-5
Publication language: English
Institution: Außerfakultäre Einrichtungen > Mannheim Centre for European Social Research - Research Department A
Subject: 004 Computer science, internet




Dieser Eintrag ist Teil der Universitätsbibliographie.




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