Article (Scientific journals)
Analyzing Epistemic Injustice
HULSTIJN, Joris; DONG, Huimin; MARKOVICH, Réka
2024In JURIX workshop on AI, Law and Philosophy
 

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Abstract :
[en] Cases of bias and unfair decisions in automated decision-making are heavily discussed. When unfair decision outcomes can be attributed to an unjust difference in the knowledge of various groups of subjects, we can speak of epistemic injustice (Fricker). In this paper, we analyze various kinds of epistemic injustice, such as testimonial, hermeneutical, distributional, and content-based epistemic injustice, and show how they can be conceptualized. We then provide a formalization of the difference in group knowledge, in a version of epistemic logic. After that, we discuss a case of a badly designed information system for government decision-making: Toeslagenffaire (Netherlands). We analyze key observations from the case and show that they constitute a form of epistemic injustice.
Precision for document type :
Review article
Disciplines :
Computer science
Author, co-author :
HULSTIJN, Joris  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
DONG, Huimin ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
MARKOVICH, Réka ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
Analyzing Epistemic Injustice
Publication date :
2024
Journal title :
JURIX workshop on AI, Law and Philosophy
FnR Project :
FNR14776480 - Deontic Logic For Epistemic Rights, 2020 (01/09/2021-31/08/2024) - Leon Van Der Torre
Available on ORBilu :
since 11 May 2024

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