photo of Marko Grobelnik

Marko Grobelnik

AI Researcher & Digital Champion - AI Lab of Slovenia’s Jozef Stefan Institute

Marko Grobelnik is a researcher in the field of Artificial Intelligence. Marko co-leads Artificial Intelligence Lab at Jozef Stefan Institute, which is the core technical partner of the OECD.AI Policy Observatory. He cofounded UNESCO International Research Center on AI (IRCAI),  is the CEO of Quintelligence.com and collaborates with major European academic institutions and major industries such as Bloomberg, British Telecom, European Commission, Microsoft Research, New York Times. Marko is co-author of several books, co-founder of several start-ups and is/was involved into over 70 EU funded research projects in various fields of Artificial Intelligence. Marko represents Slovenia in OECD.AI Network of Experts (ONE AI), in Council of Europe Committee on AI (CAHAI), and Global Partnership on AI (GPAI). In 2016 Marko became Digital Champion of Slovenia at European Commission.

Marko Grobelnik's videos

The OECD Al Systems Classification Framework

The OECD Al Systems Classification Framework

February 6, 2021clock90 mins

The OECD’s Network of Experts on AI developed a user-friendly framework to classify AI systems. It provides a structure for assessing and classifying AI systems according to their impact on public policy following the OECD AI Principles. This session discusses the four dimensions of the draft OECD AI Systems Classification Framework, illustrates the usefulness of the framework using concrete AI systems as examples, and seeks feedback and comments to support finalisation of the framework. Aclassification framework to understand the labour market impact will also be introduced.

Data highlight: Using live data on Al jobs and skills

Data highlight: Using live data on Al jobs and skills

February 6, 2021clock30 mins

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 partners.

The OECD Framework for the Classification of AI Systems

The OECD Framework for the Classification of AI Systems

February 2, 2021clock4 mins

Different types of AI systems raise very different policy opportunities and challenges. As part of the AI-WIPS project, the OECD has 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.

Disclaimer :The opinions expressed and arguments employed herein are solely those of the authors and do not necessarily reflect the official views of the OECD or its member countries. The Organisation cannot be held responsible for possible violations of copyright resulting from the posting of any written material on this website/blog.

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