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Regulating Algorithmic Management at Work in the European Union: Data Protection, Non-Discrimination and Collective Rights

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dc.contributor.authorAloisi, Antonio
dc.contributor.funderEuropean Commission
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2024-07-02T16:11:27Z
dc.date.available2024-07-02T16:11:27Z
dc.date.issued2024-01-01
dc.description.abstractIn recent years, algorithmic management practices have been widely adopted by employers to monitor remote work, analyse how applicants behave during job interviews, rate workers' performance and calculate wage adjustments. As a consequence, the condition of workers being subjected to the upstream authority of managers has intensified. Employment protection legislation recognises the importance of curbing the bosses' unilateral discretionary power by deploying several controlling factors. However, the traditional guardrails have now been displaced by the transformative impetus of data-driven technologies. As a response to this challenge, several European Union law tools could be pragmatically adapted to curtail the expansion of managers' decisional leeway. By applying a multidimensional, anticipatory and participatory approach, this paper integrates substantive and procedural rules that contribute to rebalancing informational asymmetries within workplaces and assesses the effectiveness of those rules. Using examples from case law, administrative decisions and legislative developments, it also discusses the mutually reinforcing relationship between data protection provisions and anti-discrimination measures, which renders automated decisions documentable and contestable. Beyond defensive tactics, this paper calls for the involvement of worker representatives in co-designing digital human resources policies. Indeed, as data are relational, collective bodies are uniquely placed to exchange information, raise awareness and bring claims, thereby preventing algorithmic abuses.
dc.description.peerreviewedyes
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationAloisi, A. (2024). Regulating algorithmic management at work in the European Union: Data protection, non-discrimination and collective rights. International Journal of Comparative Labour Law and Industrial Relations, 40(1). https://doi.org/10.5281/zenodo.10037216
dc.identifier.doihttps://doi.org/10.5281/zenodo.10037216
dc.identifier.issn0952-617X
dc.identifier.urihttps://hdl.handle.net/20.500.14417/2872
dc.issue.number1
dc.journal.titleInternational Journal of Comparative Labour Law and Industrial Relations
dc.language.isoen
dc.licensehttps://creativecommons.org/licenses/by/4.0/legalcode
dc.page.total37
dc.publisherInternational Journal of Comparative Labour Law and Industrial Relations
dc.relation.departmentDigital & Tech Law
dc.relation.entityIE University
dc.relation.projectID893888 - Boss Ex Machina: Mapping and Understanding the Technological Transformation of Managerial Prerogatives in Workplaces Driven by Machines, Artificial Intelligence and Algorithms
dc.relation.schoolIE Law School
dc.rightsAttribution 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subject.keywordEmployer powers
dc.subject.keywordData protection
dc.subject.keywordNon-discrimination
dc.subject.keywordCodetermination
dc.subject.keywordArtificial intelligence
dc.subject.keywordAlgorithms' management
dc.subject.keywordRight to explanation
dc.subject.keywordBurden of proof
dc.subject.keywordEU law
dc.subject.keywordDigital transformation
dc.subject.otherEmployer powers;Data protection;Non-discrimination;Codetermination;Artificial intelligence;Algorithms' management;Right to explanation;Burden of proof;EU law;Digital transformation
dc.titleRegulating Algorithmic Management at Work in the European Union: Data Protection, Non-Discrimination and Collective Rights
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number40
dspace.entity.typePublication
relation.isAuthorOfPublication5aecf3e8-490a-434c-985a-16c1835be77c
relation.isAuthorOfPublication.latestForDiscovery5aecf3e8-490a-434c-985a-16c1835be77c
relation.isAuthorOfPublication.latestForDiscovery5aecf3e8-490a-434c-985a-16c1835be77c
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