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AI Fairness at Subgroup Level : A Structured Literature Review

Title data

Lämmermann, Luis ; Richter, Patrick ; Zwickel, Amelie ; Markgraf, Moritz:
AI Fairness at Subgroup Level : A Structured Literature Review.
In: Proceedings of the 30th European Conference on Information Systems (ECIS). - Timișoara, Romania , 2022

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Künstliche IntelligenzNo information

Abstract in another language

AI applications in production environments often fail to gain required acceptance by stakeholders due to unfairness issues. Research mostly investigates fairness on individual or group levels. However, increasing research indicates shortcomings in this two-fold view. Particularly, the non-inclusion of the heterogeneity within different groups leads to increasing demand for specific fairness consideration at the subgroup level. Subgroups emerge from the conjunction of several protected attributes. An equal distribution of classified individuals between subgroups is the fundamental goal. In this paper, we analyze the fundamentals of subgroup fairness, its integration in group and individual fairness. Based on a literature review, we analyze the existing concepts of subgroup fairness in research. Our paper contributes to the understanding of AI fairness by providing a deeper understanding of the underlying concepts and their implications on AI development in practice

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: artificial intelligence; fairness; subgroup; literature review
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems and Digital Energy Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems and Digital Energy Management > Professor Information Systems and Digital Energy Management - Univ.-Prof. Dr. Jens Strüker
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 12 May 2022 07:31
Last Modified: 08 Aug 2022 05:09
URI: https://eref.uni-bayreuth.de/id/eprint/69594