Automation, skills use and training:
This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PI...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Paris
OECD Publishing
2018
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| Schriftenreihe: | OECD Social, Employment and Migration Working Papers
no.202 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PIAAC). The analysis improves on other international estimates of the individual risk of automation by using a more disaggregated occupational classification and identifying the same automation bottlenecks emerging from the experts' discussion. Hence, it more closely aligns to the initial assessment of the potential automation deriving from the development of Machine Learning. Furthermore, this study investigates the same methodology using national data from Germany and United Kingdom, providing insights into the robustness of the results. The risk of automation is estimated for the 32 OECD countries that have participated in the Survey of Adult Skills (PIAAC) so far. Beyond the share of jobs likely to be significantly disrupted by automation of production and services, the accent is put on characteristics of these jobs and the characteristics of the workers who hold them. The risk is also assessed against the use of ICT at work and the role of training in helping workers transit to new career opportunities. |
| Beschreibung: | 1 Online-Ressource (124 p.) |
| DOI: | 10.1787/2e2f4eea-en |
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| spelling | Nedelkoska, Ljubica VerfasserIn aut Automation, skills use and training Ljubica, Nedelkoska and Glenda, Quintini Paris OECD Publishing 2018 1 Online-Ressource (124 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Social, Employment and Migration Working Papers no.202 This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PIAAC). The analysis improves on other international estimates of the individual risk of automation by using a more disaggregated occupational classification and identifying the same automation bottlenecks emerging from the experts' discussion. Hence, it more closely aligns to the initial assessment of the potential automation deriving from the development of Machine Learning. Furthermore, this study investigates the same methodology using national data from Germany and United Kingdom, providing insights into the robustness of the results. The risk of automation is estimated for the 32 OECD countries that have participated in the Survey of Adult Skills (PIAAC) so far. Beyond the share of jobs likely to be significantly disrupted by automation of production and services, the accent is put on characteristics of these jobs and the characteristics of the workers who hold them. The risk is also assessed against the use of ICT at work and the role of training in helping workers transit to new career opportunities. Employment Social Issues/Migration/Health Quintini, Glenda MitwirkendeR ctb FWS01 ZDB-13-SOC FWS_PDA_SOC https://doi.org/10.1787/2e2f4eea-en Volltext |
| spellingShingle | Nedelkoska, Ljubica Automation, skills use and training Employment Social Issues/Migration/Health |
| title | Automation, skills use and training |
| title_auth | Automation, skills use and training |
| title_exact_search | Automation, skills use and training |
| title_full | Automation, skills use and training Ljubica, Nedelkoska and Glenda, Quintini |
| title_fullStr | Automation, skills use and training Ljubica, Nedelkoska and Glenda, Quintini |
| title_full_unstemmed | Automation, skills use and training Ljubica, Nedelkoska and Glenda, Quintini |
| title_short | Automation, skills use and training |
| title_sort | automation skills use and training |
| topic | Employment Social Issues/Migration/Health |
| topic_facet | Employment Social Issues/Migration/Health |
| url | https://doi.org/10.1787/2e2f4eea-en |
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