The FairCeptron: A framework for measuring human perceptions of algorithmic fairness

DOI:	https://doi.org/10.1145/3450614.3463291
URL:	https://dl.acm.org/doi/abs/10.1145/3450614.3463291
Document Type:	Conference or workshop publication
Year of publication:	2021
Book title:	UMAP ’21 : adjunct publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization : June 21–25, 2020, Utrecht, Netherlands
Page range:	401-403
Conference title:	UMAP '21
Location of the conference venue:	Online
Date of the conference:	21.-25.06.2021
Publisher:	Masthoff, Judith ; Herder, Eelco ; Tintarev, Nava ; Tkalčič, Marko
Place of publication:	New York, NY
Publishing house:	Association for Computing Machinery
ISBN:	978-1-4503-8367-7
Related URLs:	https://arxiv.org/abs/2102.04119 https://www.researchgate.net/publication... https://dl.acm.org/action/showFmPdf?doi=...
Publication language:	English
Institution:	Business School > Data Science in the Economic and Social Sciences (Strohmaier, 2022-)
Subject:	004 Computer science, internet 330 Economics

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.

BASE: Ahnert, Georg ; Smirnov, Ivan ; Lemmerich, Florian ; Wagner, Claudia ; Strohmaier, Markus

Google Scholar: Ahnert, Georg ; Smirnov, Ivan ; Lemmerich, Florian ; Wagner, Claudia ; Strohmaier, Markus

ORCID: Ahnert, Georg

, Smirnov, Ivan

, Lemmerich, Florian, Wagner, Claudia and Strohmaier, Markus

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