Global case studies of social dialogue on AI and algorithmic management
Fuente:
Organización Internacional del Trabajo (OIT)
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Entrada de enciclopedia |
| Published: |
International Labour Organization
2025
|
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1874524923660075010 |
|---|---|
| author | Virginia Doellgast (Author) Shruti Appalla (Author) Dina Ginzburg (Author) Jeonghun Kim (Author) Wen Li Thian (Author) |
| author_facet | Virginia Doellgast (Author) Shruti Appalla (Author) Dina Ginzburg (Author) Jeonghun Kim (Author) Wen Li Thian (Author) Virginia Doellgast (Author) Shruti Appalla (Author) Dina Ginzburg (Author) Jeonghun Kim (Author) Wen Li Thian (Author) |
| contents | Global case studies of social dialogue on AI and algorithmic management Virginia Doellgast (Author) Shruti Appalla (Author) Dina Ginzburg (Author) Jeonghun Kim (Author) Wen Li Thian (Author) Employers are adopting and refining artificial intelligence (AI) and algorithm-based tools in the workplace, with wide-ranging implications for work and employment. This working paper examines case studies of social dialogue on AI at national, regional, sectoral, company, and workplace levels in Europe, North America, Asia, South America and the Caribbean, and Africa. Findings are organized around three distinct ‘action fields’ in which worker representatives have sought to influence strategies and outcomes associated with the growing use of AI and algorithms in the workplace. These include the employment and skill impacts of AI, algorithmic management practices, and working conditions and rights in AI value chains. Across these action fields, social dialogue is playing a crucial role in encouraging an alternative, high road approach to AI investments and uses, based on complementing rather than replacing worker skills, empowering rather than controlling the workforce, and embedding rather than displacing new jobs in labor and social protections. Comparative findings suggest that these social dialogue initiatives are more effective where there are constraints on employer exit, support for collective worker voice, and strategies of inclusive labor solidarity. ILO working paper, 144, ILO 10.54394/VOQE4924 DOI https://doi.org/10.54394/VOQE4924; ISBN 9789220421673 publication.encyclopediaEntry |
| format | Entrada de enciclopedia |
| id | ilo_995660065002676 |
| institution | Organización Internacional del Trabajo (OIT) |
| publishDate | 2025 |
| publisher | International Labour Organization |
| spellingShingle | Global case studies of social dialogue on AI and algorithmic management Virginia Doellgast (Author) Shruti Appalla (Author) Dina Ginzburg (Author) Jeonghun Kim (Author) Wen Li Thian (Author) Global case studies of social dialogue on AI and algorithmic management Virginia Doellgast (Author) Shruti Appalla (Author) Dina Ginzburg (Author) Jeonghun Kim (Author) Wen Li Thian (Author) Employers are adopting and refining artificial intelligence (AI) and algorithm-based tools in the workplace, with wide-ranging implications for work and employment. This working paper examines case studies of social dialogue on AI at national, regional, sectoral, company, and workplace levels in Europe, North America, Asia, South America and the Caribbean, and Africa. Findings are organized around three distinct ‘action fields’ in which worker representatives have sought to influence strategies and outcomes associated with the growing use of AI and algorithms in the workplace. These include the employment and skill impacts of AI, algorithmic management practices, and working conditions and rights in AI value chains. Across these action fields, social dialogue is playing a crucial role in encouraging an alternative, high road approach to AI investments and uses, based on complementing rather than replacing worker skills, empowering rather than controlling the workforce, and embedding rather than displacing new jobs in labor and social protections. Comparative findings suggest that these social dialogue initiatives are more effective where there are constraints on employer exit, support for collective worker voice, and strategies of inclusive labor solidarity. ILO working paper, 144, ILO 10.54394/VOQE4924 DOI https://doi.org/10.54394/VOQE4924; ISBN 9789220421673 publication.encyclopediaEntry |
| title | Global case studies of social dialogue on AI and algorithmic management |
| url | https://researchrepository.ilo.org/esploro/outputs/encyclopediaEntry/Global-case-studies-of-social-dialogue/995660065002676 |