Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Algorithms, labour and normative spaces

Rebalancing Power to Ensure Democracy at Work

Bibliographic Data

ID5049571
AuthorsKaren Arthur (0000-0003-3568-912X, Universidade Federal de Juiz de Fora), Ligia Barros De Freitas (0000-0002-4285-4376, Universidade do Estado de Minas Gerais), Jean Filipe Domingos Ramos (0000-0001-6512-0642, Universidade Federal de Juiz de Fora)
Year2025
Pages1-18
Publication date2025-01-01
Open AccessYes
TypeARTICLE
VenueMediações Revista de Ciências Sociais (JOURNAL)
Journal identifiersISSN: 1414-0543 • E-ISSN: 2176-6665
PublisherUniversidade Estadual de Londrina (PUBLISHER • BR)
DOI10.5433/2176-6665.2025v30e52500en
OpenAlexW4414092267
LanguageEN

Addressingconcerns about the anti-democratic use of algorithmic management in labourrelations, this article sets out to map the actions of actors in the world of work in order to redirect the studied institutional frameworks in a more protective direction. Working towardsthis aim, the authors outline the contours of theseactions using materials found in the literature, produced by the European Trade Union Institute (ETUI) and researched in public hearings in the Brazilian Supreme Court (STF) and Federal Senate. It observesthat the efforts to put collective labour regulatory concerns on the agenda have been more successful in the European guidelines. This action is under strain in the Brazilian regulatory sphere of digital platforms and artificial intelligence (AI). At the same time, debates in the Supreme Court on the recognition of employment relationships and in the Federal Senate on AI indicate a process ofdiluting labour protections

European union · Labour law · Normative · Supreme court · Digital Economy and Work Transformation

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae