 Informed consent and algorithmic discrimination – is giving away your data the new vulnerable?Hauke Behrendt and Wulf Loh Review of Social Economy, 2022, vol. 80, issue 1, 58-84 Abstract: This paper discusses various forms and sources of algorithmic discrimination. In particular, we explore the connection between – at first glance – ‘voluntary’ sharing or selling of one’s data on the one hand and potential risks of automated decision-making based on big data and artificial intelligence on the other. We argue that the implementation of algorithm-driven profiling or decision-making mechanisms will, in many cases, disproportionately disadvantage certain vulnerable groups that are already disadvantaged by many existing datafication practices. We call into question the voluntariness of these mechanisms, especially for certain vulnerable groups, and claim that members of such groups are oftentimes more likely to give away their data. If these existing datafication practices exacerbate prior disadvantages, they ‘compound historical injustices’ (Hellman, 2018) and thereby constitute forms of morally wrong discrimination. To make matters worse, they are even more prone to further algorithmic discriminations based on the additional data collected from them. Date: 2022 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:rsocec:v:80:y:2022:i:1:p:58-84 Ordering information: This journal article can be ordered from DOI: 10.1080/00346764.2022.2027506 Access Statistics for this article Review of Social Economy is currently edited by Wilfred Dolfsma and John Davis More articles in Review of Social Economy from Taylor & Francis Journals |
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