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pro vyhledávání: '"Hoffmann, Morgane"'
Autor:
Bied, Guillaume, Gaillac, Christophe, Hoffmann, Morgane, Nathan, Solal, Caillou, Philippe, Crépon, Bruno, Sebag, Michèle
Publikováno v:
AI for HR and Public Employment Services
AI for HR and Public Employment Services, Feb 2023, Ghent (BE), Belgium
AI for HR and Public Employment Services, Feb 2023, Ghent (BE), Belgium
International audience; Algorithmic recommendations of job ads to job seekers promise to alleviate frictional unemployment, but raise fairness considerations due to biases in training data. This paper strives to discuss the issue of algorithmic fairn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::9e5b656c14af230d50888e9e8ef6518f
https://inria.hal.science/hal-04025006
https://inria.hal.science/hal-04025006
This study is part of a 3-study project. We collaborate with Pôle emploi, the main public employment service in France. We take this opportunity to carry out a project in 3 stages: 1. Translate and validate the Job search self-efficacy scale (Saks e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::146578183cb5f97fede61d76647b3ee5
This study is part of a 3-study project. We collaborate with Pôle emploi, the main public employment service in France. We take this opportunity to carry out a project in 3 stages: 1. Translate and validate the Job search self-efficacy scale (Saks e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e74c86bf9edbcff409d72a9f3af38f9