International conference on AI in Work, Innovation, Productivity and Skills

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Marko Grobelnik

Josef Stefan Institute

AI Researcher & Digital Champion

Description

Marko Grobelnik is a researcher in the field of AI. Focused areas of expertise are Machine Learning, Data/Text/Web Mining, Network Analysis, Semantic Technologies, Deep Text Understanding, and Data Visualization. Marko co-leads AI Lab at Jozef Stefan Institute in Slovenia and is the CEO of Quintelligence.com specialized in solving complex AI problems for the commercial world. He collaborates with major European academic institutions and major industries. Marko is co-author of several books, co-founder of several start-ups and is/was involved into over 50 EU funded research projects on various fields of Artificial Intelligence. In 2016, Marko became Digital Champion of Slovenia at the European Commission.

This speaker will talk about

Find here the list of all the sessions presented by this speaker in order not to miss any of it.

4:15 pm - 4:45 pm

Data highlight: Using live data on Al jobs and skills

As AI diffusion and adoption evolve apace, timely data on AI jobs and skills can help inform policy. The OECD will launch a set of new indicators and interactive visualisations showing demand for AI jobs and skills by country, AI skills penetration and migration, women in AI R&D, AI software development skills and more. 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...

Marko Grobelnik

Josef Stefan Institute

Bamini Jayabalasingham

Mike Linksvayer

2:00 pm - 3:30 pm

The OECD Al Systems Classification Framework: progress, challenges and way forward

Different types of AI systems raise very different policy opportunities and challenges. As part of the AI-WIPS project, the OECD’s Committee on Digital Economy Policy’s Network of Experts on AI developed a user-friendly framework to classify AI systems. The framework provides a structure for assessing and classifying AI systems according to their impact on public policy in areas covered by the OECD AI Principles. This session will discuss the four dimensions of the draft OECD AI Systems...

Agence Française de Développement (AFD)

University of Canterbury

Emilia Gomez Gutiérrez

European Commission DG Joint Research Centre (JRC)

Marko Grobelnik

Josef Stefan Institute

Marguerita Lane

Georgetown University

John Cabot University

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