Algorithmic management and collective bargaining

Algorithmic management and collective bargaining
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算法管理和集体谈判

DOI:
--
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发表时间:
2022
期刊:
Transfer: European Review of Labour and Research
影响因子:
--
通讯作者:
Simon Taes
Simon Taes
中科院分区:
--
文献类型:
--
作者:
V. De Stefano;Simon Taes

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本文讨论了在工作领域引入算法管理和人工智能所带来的挑战,重点是新的管理技术对基本权利和原则,如不歧视,结社自由和隐私权带来的风险。文章认为,集体谈判是应对这些挑战的最合适的监管工具,目前欧盟的立法举措没有充分认识到集体谈判在这一领域的作用。它还描绘了欧洲国家工会运动目前为管理算法管理而采取的举措。
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.
自动招聘的审计势在必行
DOI: --
发表时间: 2021
期刊: Harvard journal of law technology
影响因子: --
作者:
Ajunwa, Ifeoma
通讯作者: Ajunwa, Ifeoma
DOI: 10.5465/annals.2018.0174
发表时间: 2020-01-01
影响因子: 21.2
作者:
Kellogg, Katherine C.;Valentine, Melissa A.;Christin, Angele
通讯作者: Christin, Angele