Differential privacy and collective bargaining over workplace data

Gould, Sandy J.J. 2024. Differential privacy and collective bargaining over workplace data. Italian Labour Law e-Journal 17 (2) , pp. 133-144. 10.6092/issn.1561-8048/20838

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Abstract

The datafication of workplaces allows employers an increased information advantage over workers during bargaining. Instrumenting tools (and workers themselves), aggregating data and applying sophisticated analytic techniques can give employers greater insight into what is happening in workplaces. Data privacy laws like GDPR provide protections for individual workers but can make it more difficult for worker representatives to access workplace data for collective bargaining because employers can reasonably argue that releasing such data would put them in violation of their legal responsibilities in relation to data privacy. Aggregate summaries of datasets provided by employers would comply with data privacy laws, but are susceptible to manipulation. I argue that using differential privacy, a technique for processing data that makes it harder to determine who contributed data to a dataset, would remove an obstacle to employers sharing workplace data with worker representatives.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Università di Bologna
ISSN:	1561-8048
Date of First Compliant Deposit:	27 November 2024
Date of Acceptance:	25 October 2024
Last Modified:	08 Jan 2025 10:59
URI:	https://orca.cardiff.ac.uk/id/eprint/173789

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