The European Union Mutual Learning Programme in Gender Equality Artificial Intelligence and Gender Biases in Recruitment and Selection Processes - Comments paper – Portugal

dc.contributor.authorCosta, Rosalina
dc.date.accessioned2023-02-14T11:35:07Z
dc.date.available2023-02-14T11:35:07Z
dc.date.issued2020
dc.description.abstractDespite the widespread entry of the topics related to artificial intelligence (hereafter AI) in the political discourse and media, in Portugal, specific issues regarding gender bias in recruitment and selection processes seem to be apparently out of the public agenda. Nonetheless, as Portugal's labour market is highly segregated along the classification gender, inequalities persist and there is resistance to change gender bias and stereotypes (Silva, 2018; Torres, 2018). This might mean that, despite being visibly out of the public agenda, invisible gender bias in recruitment and selection processes would certainly be pervasive in AI applications. Therefore, unpacking this issue is currently both a challenging and a relevant topic to address.por
dc.identifier.authoremailrosalina@uevora.pt
dc.identifier.citationCosta, Rosalina (2020). The European Union Mutual Learning Programme in Gender Equality Artificial Intelligence and Gender Biases in Recruitment and Selection Processes - Comments paper – Portugal. The Netherlands, online seminar - 12-13 November 2020. url: https://commission.europa.eu/system/files/2020-12/mlp_pt_comments_paper_nl_november_2020_en.pdfpor
dc.identifier.scientificarea687por
dc.identifier.sharewithCICS.NOVApor
dc.identifier.urihttps://commission.europa.eu/system/files/2020-12/mlp_pt_comments_paper_nl_november_2020_en.pdf
dc.identifier.urihttp://hdl.handle.net/10174/34306
dc.language.isoengpor
dc.rightsopenAccesspor
dc.subjectartificial intelligencepor
dc.subjectgenderpor
dc.subjectbiaspor
dc.subjectrecruitment and selection processespor
dc.subjectlabour marketpor
dc.titleThe European Union Mutual Learning Programme in Gender Equality Artificial Intelligence and Gender Biases in Recruitment and Selection Processes - Comments paper – Portugalpor
dc.typereportpor

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