Generative AI and jobs: policies to manage the transition
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Organización Internacional del Trabajo (OIT)
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| Format: | Entrada de enciclopedia |
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International Labour Organization
2023
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| _version_ | 1874525007755870208 |
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| author | Pawel Gmyrek (Author) Janine Berg (Author) David Bescond (Author) |
| author_facet | Pawel Gmyrek (Author) Janine Berg (Author) David Bescond (Author) Pawel Gmyrek (Author) Janine Berg (Author) David Bescond (Author) |
| contents | Generative AI and jobs: policies to manage the transition Pawel Gmyrek (Author) Janine Berg (Author) David Bescond (Author) This Research Brief, based on ILO Working Paper 96, adds a global perspective to the debate on the labour markets and generative AI. It predicts that the overwhelming effect of the technology will be to augment occupations, rather than to automate them. The greatest impact is likely to be in high and upper-middle income countries due to a higher share of employment in clerical occupations. As clerical jobs are an important source of female employment, the effects are highly gendered. Insights from this study underline the need for proactive policies that focus on job quality, ensure fair transitions, and that are based on dialogue and adequate regulation. This brief provides additional regional and sub-regional estimates, not covered in the main working paper. ILO brief. Research brief, ILO 10.54394/FVNQ9406 DOI https://doi.org/10.54394/FVNQ9406 publication.encyclopediaEntry |
| format | Entrada de enciclopedia |
| id | ilo_995334493102676 |
| institution | Organización Internacional del Trabajo (OIT) |
| publishDate | 2023 |
| publisher | International Labour Organization |
| spellingShingle | Generative AI and jobs: policies to manage the transition Pawel Gmyrek (Author) Janine Berg (Author) David Bescond (Author) Generative AI and jobs: policies to manage the transition Pawel Gmyrek (Author) Janine Berg (Author) David Bescond (Author) This Research Brief, based on ILO Working Paper 96, adds a global perspective to the debate on the labour markets and generative AI. It predicts that the overwhelming effect of the technology will be to augment occupations, rather than to automate them. The greatest impact is likely to be in high and upper-middle income countries due to a higher share of employment in clerical occupations. As clerical jobs are an important source of female employment, the effects are highly gendered. Insights from this study underline the need for proactive policies that focus on job quality, ensure fair transitions, and that are based on dialogue and adequate regulation. This brief provides additional regional and sub-regional estimates, not covered in the main working paper. ILO brief. Research brief, ILO 10.54394/FVNQ9406 DOI https://doi.org/10.54394/FVNQ9406 publication.encyclopediaEntry |
| title | Generative AI and jobs: policies to manage the transition |
| url | https://researchrepository.ilo.org/esploro/outputs/encyclopediaEntry/Generative-AI-and-jobs-policies-to/995334493102676 |