AI use by public employment services: can it lead to more inclusive labour markets?
Description
People furthest from the labour market can have large gaps in their educational attainment, qualification and work experience, and their skills can be difficult to map using “traditional” data analytics and administrative data. Furthermore, they might face additional employment challenges that the traditional administrative data often do not capture. As such, simple statistical methods to identify people who need additional support and traditional algorithms to match jobseekers with jobs by their education and job experience fail. Can AI (and big data) help overcome these challenges and identify appropriate support and job opportunities for the most vulnerable jobseekers?
This session will explore the opportunities of using AI in public employment services (PES) to help the people furthest from the labour market. The panellists will discuss untapped potential use cases of AI in PES and how to unlock their potential going forward.
