Improving Public Employment Services through Artificial Intelligence in France and Greece

Artificial Intelligence is opening new opportunities for public employment services (PES) to improve support for jobseekers, assist employers, and enhance internal processes. Generative AI further expands these possibilities, and the EU AI Act accompanies such developments with safeguards to ensure transparency, fairness, and accountability. France Travail already uses AI in tools such as automatic CV analysis to identify skills and predictive models to support vacancy management, and it is deploying new generative AI solutions to support counsellors, jobseekers and employers. Guided by an AI strategy and an Ethical AI Charter, France Travail now aims to scale up its AI-supported solutions, explore introducing new tools as innovations evolve, and align with EU requirements. In Greece, DYPA sees AI as central to its digital transformation, with recent legislation providing the basis to define use cases and build a coherent strategy; it already uses tools such as a citizen-service chatbot and is developing additional projects, including a digital assistant and a matching tool.

Starting in September 2025 and for a period of two years, the OECD, in cooperation with the European Commission, will provide France Travail and DYPA with tailored guidance, capacity-building support, and practical tools to support a more coherent, effective, and trustworthy use of AI in public employment services. Early activities will include an international roundtable, and a report on innovative AI use cases in public employment services. These efforts will map current practices and identify promising areas for further AI adoption. On this basis, recommendations on AI strategies and concrete action plans will be prepared for each PES, accompanied by concise monitoring and evaluation frameworks. To translate strategy into practice, the project will provide practical guidelines for both organisations. In Greece, the project will also include staff training and a proposal to design a pilot for a selected AI use case. The project will conclude with a final conference and report bringing together results and lessons learned.

Public employment services worldwide are exploring how AI can enhance the way they design and deliver services. This project will shed light on how PES can seize the opportunities of AI while addressing key issues of transparency, fairness, and accountability. By documenting the experiences of France Travail and DYPA, the project will provide lessons that are relevant to other countries at different stages of AI adoption, whether refining existing strategies or considering first steps towards harnessing AI.

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