dc.contributor.author
Behnam Shad, Klaus
dc.date.accessioned
2025-04-30T06:55:10Z
dc.date.available
2025-04-30T06:55:10Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/40649
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-40370
dc.description.abstract
This article links three rarely considered dimensions related to the implementation of artificial intelligence (AI)-based technologies in the form of predictive policing and discusses them in relation to liberal democratic societies. The three dimensions are the theoretical embedding and the workings of AI within anomic conditions (1), potential normative disorders emerging from them in the form of thinking errors and discriminatory practices (2) as well as the consequences of these disorders on the psychosocial, and emotional level (3). Against this background, AI-induced anomie is conceptualized as a field of tension that refers to a systematic deterioration of democratic norms that are supposed to create ‘normative orders’, but which, when implemented through AI-supported measures, can reproduce existing discriminations, and establish new kinds of discriminatory relations. In future, these AI-based measures have the potential to lead to opposing normative disorders by emerging in the form of false social norms to an equally false Second Nature. They deprive persons involved of the possibility of individual appropriation of social norms and the specific emotional development associated with it.
en
dc.format.extent
12 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Artificial intelligence
en
dc.subject
Affects and emotions
en
dc.subject
Predictive policing
en
dc.subject
Social norms
en
dc.subject.ddc
300 Sozialwissenschaften::300 Sozialwissenschaften, Soziologie::301 Soziologie, Anthropologie
dc.title
Artificial intelligence-related anomies and predictive policing: normative (dis)orders in liberal democracies
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1007/s00146-023-01751-9
dcterms.bibliographicCitation.journaltitle
AI & SOCIETY
dcterms.bibliographicCitation.number
2
dcterms.bibliographicCitation.pagestart
891
dcterms.bibliographicCitation.pageend
902
dcterms.bibliographicCitation.volume
40
dcterms.bibliographicCitation.url
https://doi.org/10.1007/s00146-023-01751-9
refubium.affiliation
Politik- und Sozialwissenschaften
refubium.affiliation.other
Institut für Sozial- und Kulturanthropologie

refubium.funding
Springer Nature DEAL
refubium.note.author
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin gefördert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1435-5655