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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

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    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    2. Koundouri, Phoebe & Landis, Conrad & Feretzakis, Georgios, 2025. "Semantic Synergy: Unlocking Policy Insights and Learning Pathways Through Advanced Skill Mapping," MPRA Paper 123944, University Library of Munich, Germany.
    3. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
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