Dunja Mladenic at OECD panel at International Conference on AI in Work, Innovation, Productivity and Skills

Informing AI policy: Data in education, jobs, software development and more

As AI diffusion and adoption evolve apace, timely data on AI education, jobs, skills, research and other areas can help inform policy. At this session, the OECD will launch a set of new indicators and interactive visualisations showing supply of AI education, jobs and skills and software development. This session will feature a short demonstration of new interactive datasets available on the OECD’s AI Policy Observatory (OECD.AI), followed by an exchange with OECD.AI data partners.

Moderator: Audrey Plonk, Head of the Digital Economy Policy Division, OECD

• Vilas Dhar, President and Trustee, Patrick J. McGovern Foundation
• Tim Jurka, Senior Director of Data Engineering, LinkedIn
Dunja Mladenic, Head of Artificial Intelligence Laboratory, Jozef Stefan Institute
• Thijs van Vugt, Director Analytics and Consulting Team, Studyportals
• Markus Dicks, Head, German AI Observatory, German Federal Ministry of Labour and Social Affairs