Globoka avtomatizacija neenakosti kot samozadosten in samouresničujoč proces: primer binarizma in seksizma

Datafication is simultaneously becoming a means and a goal of modern marketdriven uses of technologies. The optimisation of the “consumer experience” shapes a data-driven consumer subject, which does not encompass all practices and identities. The article aims to problematise datafication, which ove...

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Bibliographic Details
Published inDruzboslovne razprave Vol. 40; no. 107; pp. 85 - 111
Main Author Praprotnik, Tadej
Format Journal Article
LanguageSlovenian
Published Slovensko sociološko društvo (in FDV) 2024
Slovenian Sociological Association
Subjects
Gender Studies
Methodology and research technology
Social Informatics
Social Theory
Sociology of Culture
Sociology of Politics
algorithms
sexual identity
gender identity
gender equality
datafication
artificial intelligence
deep automation of mediatized culture
Online AccessGet full text
ISSN0352-3608

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Summary:Datafication is simultaneously becoming a means and a goal of modern marketdriven uses of technologies. The optimisation of the “consumer experience” shapes a data-driven consumer subject, which does not encompass all practices and identities. The article aims to problematise datafication, which overlooks complex “citizen experiences” that also include gender and sexual identity. At thesame time, former and existing gender inequalities remain fundamental learning data, based on which algorithms and artificial intelligence generate models of future sociality. We encounter at least three interconnected types of inequality (on the levels of culture, data and technologies) that can create a self-sustaining and self-learning process that reproduces future inequalities.
ISSN:0352-3608