How intelligent neurotechnology can be epistemically unjust. An exploration into the ethics of algorithms

Bibliographic Data

ID9255752
AuthorsSebastian Schleidgen (0000-0002-7564-8675, FernUniversität in Hagen, corresponding author), Otto Friedrich (0000-0003-1608-175X, FernUniversität in Hagen), Orsolya Friedrich (FernUniversität in Hagen), Andreas Wolkenstein (0000-0002-5822-925X, Institute of Ethics, History and Theory of Medicine, Ludwig Maximilians University Munich, Munich, Germany)
Year2022
Volume80
Issue1
Pages106-126
Publication date2022-01-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueReview of Social Economy (JOURNAL)
Journal identifiersISSN: 0034-6764 • E-ISSN: 1470-1162
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00346764.2021.1979241
OpenAlexW3201704195
LanguageEN
Citations received2
References cited46

Recently, the epistemic quality of algorithms and its normative implications have come under scrutiny. While general questions of justice have been addressed in this context, specific issues of epistemic (in)justice have so far been neglected. We aim to fill this gap by analyzing some potential implications of behavioral intelligent neurotechnology (B-INT). We claim that B-INT exhibits a number of epistemic features implying the potential for certain epistemic problems, which, in turn, are likely to result in instances of epistemic injustice. To support this claim, we will first introduce and specify the terminology and technology behind B-INT. Second, we will present four fictitious scenarios of using B-INT and highlight a number of epistemic issues that might arise. Third, we will discuss their relation to the concept of epistemic justice, as well as potential instances thereof. Thus, we will show some important and morally relevant implications of the epistemic properties of INT

Context (archaeology) · Economic Justice · Epistemology · Injustice · Linguistics · Normative · Political science · Relation (database) · Scrutiny · Sociology · Terminology · Theology · Artificial Intelligence in Healthcare and Education · Computer Science · Ethics and Social Impacts of AI · Law · Neuroethics, Human Enhancement, Biomedical Innovations · Philosophy · Psychology · Social Psychology