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Artificial intelligence and labour market matching

Author

Listed:
  • Stijn Broecke

    (OECD)

Abstract
While still in its infancy, Artificial Intelligence (AI) is increasingly used in labour market matching, whether by private recruiters, public and private employment services, or online jobs boards and platforms. Applications range from writing job descriptions, applicant sourcing, analysing CVs, chat bots, interview schedulers, shortlisting tools, all the way to facial and voice analysis during interviews. While many tools promise to bring efficiencies and cost savings, they could also improve the quality of matching and jobseeker experience, and even identify and mitigate human bias. There are nonetheless some barriers to a greater adoption of these tools. Some barriers relate to organisation and people readiness, while others reflect concerns about the technology and how it is used, including: robustness, bias, privacy, transparency and explainability. The present paper reviews the literature and some recent policy developments in this field, while bringing new evidence from interviews held with key stakeholders.

Suggested Citation

  • Stijn Broecke, 2023. "Artificial intelligence and labour market matching," OECD Social, Employment and Migration Working Papers 284, OECD Publishing.
    • Handle: RePEc:oec:elsaab:284-en
    DOI: 10.1787/2b440821-en
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    More about this item

    Keywords

    Artificial Intelligence; Employment Services; Human Resources; Matching; Recruitment;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General

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