Opportunities and drawbacks of using artificial intelligence for training
Annelore Verhagen ()
No 266, OECD Social, Employment and Migration Working Papers from OECD Publishing
Abstract:
Technological developments are one of the major forces behind the need for retraining, but they can also be part of the solution. In particular, Artificial Intelligence (AI) has the potential to increase training participation, including among currently underrepresented groups, by lowering some of the barriers to training that people experience and by increasing motivation to train. Moreover, certain AI solutions for training may improve the alignment of training to labour market needs, and reduce bias and discrimination in the workplace. In order to realise the benefits of AI for training and ensure that it yields benefits for all, it will be necessary to address potential drawbacks in terms of changing skills requirements, inequalities in access to data, technology and infrastructure and important ethical issues. Finally, even when these drawbacks can be addressed, the introduction and expansion of AI tools for training is constrained by the supply of AI skills in the workforce and the availability of scientific evidence regarding the benefits of AI tools for training and whether they are cost-effective.
Keywords: Adult learning; AI; Artificial Intelligence; Skills; Training (search for similar items in EconPapers)
JEL-codes: I20 J24 M53 O15 O33 (search for similar items in EconPapers)
Date: 2021-12-13
New Economics Papers: this item is included in nep-big and nep-lma
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1787/22729bd6-en (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oec:elsaab:266-en
Access Statistics for this paper
More papers in OECD Social, Employment and Migration Working Papers from OECD Publishing Contact information at EDIRC.
Bibliographic data for series maintained by ().