A new dawn for public employment services: Service delivery in the age of artificial intelligence
Ailbhe Brioscú,
Anne Lauringson,
Anne Saint-Martin and
Theodora Xenogiani
No 19, OECD Artificial Intelligence Papers from OECD Publishing
Abstract:
As part of broader digitalisation efforts, half of public employment services (PES) in OECD countries are employing Artificial Intelligence (AI) to enhance their services. AI is being adopted across all key tasks of PES, including most commonly to match jobseekers with vacancies. While several PES have been using such tools for a decade, adoption of AI has been increasing in recent years as these become more accessible. New AI use cases have emerged to assist employers in designing vacancy postings and jobseekers in their career management and job-search strategies. AI initiatives have significant impact on PES clients, changing how they interact with the PES and receive support, and PES staff, altering their day-to-day work. As PES seek to maximise the opportunities brought by AI, proactive steps should be taken to mitigate associated risks. Key considerations for PES include prioritising transparency of AI algorithms and explainability of results, establishing governance frameworks, ensuring end-users (staff and clients) are included and supported in the development and adoption process, and committing to rigorous monitoring and evaluation to increase the positive and manage any negative impact of AI solutions.
Keywords: activation; artificial intelligence; digitalisation; job matching; profiling; public employment services; unemployment (search for similar items in EconPapers)
JEL-codes: J24 J63 J64 J68 O33 (search for similar items in EconPapers)
Date: 2024-06-13
New Economics Papers: this item is included in nep-lab
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1787/5dc3eb8e-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:comaaa:19-en
Access Statistics for this paper
More papers in OECD Artificial Intelligence Papers from OECD Publishing
Bibliographic data for series maintained by ().