Big Data: Inequality by Design?
| Autor: | Prietl, Bianca |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Technik
Technologie Technology (Applied sciences) Big Data Algorithmic Discrimination Feminist Critique of Rationality Epistemology Intersectionality Weizenbaum-Institut Weizenbaum Institute Technology Assessment Technikfolgenabschätzung discourse theory intersectionality algorithm digitalization epistemology Foucault M. social inequality digital divide gender-specific factors technology assessment Erkenntnistheorie geschlechtsspezifische Faktoren Intersektionalität Digitale Spaltung Digitalisierung Algorithmus soziale Ungleichheit Diskurstheorie 20200 20800 |
| Zdroj: | Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life", 10, Weizenbaum Conference, 2 |
| Druh dokumentu: | Konferenzbeitrag<br />conference paper |
| DOI: | 10.34669/wi.cp/2.11 |
| Popis: | This paper proposes to tackle the problem of digital inequality by introducing digital technologies of knowledge generation and decision-making to a feminist critique of rationality that is informed by discourse theory and intersectional perspectives on gender and gendered relations of inequality. Therefore, it takes a closer look at the epistemological foundations of Big Data as one prominent representation of digital technologies. While Big Data and Big Data-based results and decisions are generally believed to be objective and neutral, numeral cases of algorithmic discrimination have lately begged to differ. This paper argues that algorithmic discrimination is neither random nor accidental; on the contrary, it is - amongst others - the result of the epistemological foundation of Big Data - namely: data fundamentalism, post-explanatory anticipatory pragmatics, and anti-political solutionism. As a consequence, a critical engagement with the concepts and premises that become materialized in the design of digital technologies is needed, if they are not to silently (re)produce social inequalities. |
| Databáze: | SSOAR – Social Science Open Access Repository |
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