AI surveillance: Reclaiming privacy through informational control

With the rise of algorithmic management, the deployment of AI surveillance has proliferated in the modern workplace. AI surveillance relies on advanced computational methods to draw statistical inferences about workers from their data. These inferences are subsequently used by employers to inform various organisational and managerial decisions. This commodifies workers into statistical entities, which objectifies and instrumentalises the value of human work as a series of data points for algorithmic analysis. The article explores how this transformation impacts the precarious role of privacy in the employment context, which already navigates the inherent informational imbalances that arise from the structural subordination of workers to employers and are further exasperated by AI surveillance. It focuses on the remedies of EU law that instantiate specific notions of informational control as a core ingredient to privacy and data protection. This involves consideration of the General Data Protection Regulation, as well as the jurisprudence of Articles 7 and 8 of the European Charter of Fundamental Rights, and Article 8 of the European Convention of Human Rights. The article argues that a greater emphasis on workers’ informational control consolidates existing privacy protections and mitigates the systemic risks of data-driven commodification.

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Publication Details

Journal
European Labour Law Journal
Published
2024-12-24
DOI
https://doi.org/10.1177/20319525241306327
Citations
6
Primary Topic
European Criminal Justice and Data Protection
Type
article
Field-Weighted Citation Impact
13.39
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article

AI surveillance: Reclaiming privacy through informational control

Christine Carter
6 citations
European Labour Law Journal
European Criminal Justice and Data Protection
13.39
article

AI surveillance: Reclaiming privacy through informational control

Christine Carter
article en
6 citations

Abstract

With the rise of algorithmic management, the deployment of AI surveillance has proliferated in the modern workplace. AI surveillance relies on advanced computational methods to draw statistical inferences about workers from their data. These inferences are subsequently used by employers to inform various organisational and managerial decisions. This commodifies workers into statistical entities, which objectifies and instrumentalises the value of human work as a series of data points for algorithmic analysis. The article explores how this transformation impacts the precarious role of privacy in the employment context, which already navigates the inherent informational imbalances that arise from the structural subordination of workers to employers and are further exasperated by AI surveillance. It focuses on the remedies of EU law that instantiate specific notions of informational control as a core ingredient to privacy and data protection. This involves consideration of the General Data Protection Regulation, as well as the jurisprudence of Articles 7 and 8 of the European Charter of Fundamental Rights, and Article 8 of the European Convention of Human Rights. The article argues that a greater emphasis on workers’ informational control consolidates existing privacy protections and mitigates the systemic risks of data-driven commodification.

European Labour Law JournalVol. 16(2)
University of Cambridge (GB), Churchill Hospital (GB), Churchill School and Center (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
European Criminal Justice and Data Protection
13.39
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AI surveillance: Reclaiming privacy through informational control — Christine Carter · European Labour Law Journal (2024) | TGRS Research Map | TGRS