Affiliation:
1. York University, Toronto, Ontario, Canada
2. Institute for Labour Law of the KU Leuven, Belgium
Abstract
This article addresses the challenges raised by the introduction of algorithmic management and artificial intelligence in the world of work, focusing on the risks that new managerial technologies present for fundamental rights and principles, such as non-discrimination, freedom of association and the right to privacy. The article argues that collective bargaining is the most suitable regulatory instrument for responding to these challenges, and that current EU legislative initiatives do not adequately recognise the role of collective bargaining in this area. It also maps current initiatives undertaken by national trade union movements in Europe to govern algorithmic management.
Funder
This work was supported by the Canada Research Chair program; and, previously, by the European Trade Union Institute (ETUI).
Subject
Organizational Behavior and Human Resource Management,Industrial relations
Reference46 articles.
1. Adams-Prassl J, Binns R, Kelly-Lyth A (2022) Directly discriminatory algorithms. Modern Law Review. 86(1): 144–175.
2. Aguilar R (2021) Just Eat and unions sign the first company agreement for riders in Spain. Spain’s News. Available at: https://spainsnews.com/just-eat-and-unions-sign-the-first-company-agreement-for-riders-in-spain/ (accessed 2 September 2022).
3. Ajunwa I (2019) An Auditing Imperative for Automated Hiring. SSRN. Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3437631 (accessed 16 May 2022).
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献