IDEAS home Printed from https://ideas.repec.org/p/aue/wpaper/2619.html

Sustainability-Related Skills for the Green Transition: AI-Enabled Assessment, Curricula Revision Across All Educational Levels, and Upskilling/Reskilling Pathways for Labour Market Participation

Author

Listed:
  • Phoebe Koundouri

    (Dept. of International and European Economic Studies, Athens University of Economics and Business)

  • Chrysilia Pitti
  • Georgios Feretzakis

Abstract

The transition to a sustainable economy depends on transforming the workforce at least as quickly as the labour market is being reshaped by automation. This chapter examines how artificial intelligence (AI) can identify the competencies required to deliver the United Nations Sustainable Development Goals (SDGs) and can guide the revision of curricula across all levels of education, while critically assessing the risks that accompany technology-driven workforce planning. Drawing on an operational natural-language-processing framework that extracts skills from policy documents and curricula, maps them to the European ESCO taxonomy and to SDG targets-achieving an overall F1 score of 0.963 for skills extraction and 0.809 for environmental-SDG alignment in an authors' evaluation-we show how AI can accelerate the skills intelligence needed for evidence-based upskilling and reskilling. We weigh these promises against the perils of algorithmic bias, linguistic and regional exclusion, worker displacement, surveillance and rebound effects, and we propose governance and educational pathways for an inclusive transition that genuinely empowers labour-market participation.

Suggested Citation

  • Phoebe Koundouri & Chrysilia Pitti & Georgios Feretzakis, 2026. "Sustainability-Related Skills for the Green Transition: AI-Enabled Assessment, Curricula Revision Across All Educational Levels, and Upskilling/Reskilling Pathways for Labour Market Participation," DEOS Working Papers 2619, Athens University of Economics and Business.
    • Handle: RePEc:aue:wpaper:2619
    as

    Download full text from publisher

    File URL: http://wpa.deos.aueb.gr/docs/2619.Chapter.Koundouri.Pitti.Feretzakis.FullChapter.v4.pdf
    File Function: First version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aue:wpaper:2619. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ekaterini Glynou (email available below). General contact details of provider: https://edirc.repec.org/data/diauegr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.