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

AS

Alina Sorgner

John Cabot University

Assistant Professor of Applied Data Analytics, Department of Business Administration

Description

Dr. Alina Sorgner is Assistant Professor for Applied Data Analytics and Chair at the Department of Business Administration of John Cabot University in Rome, a Research Fellow at the Kiel Institute for the World Economy (IfW Kiel) and a Research Affiliate at the Institute of Labor Economics (IZA). Her research in the fields of digitalization, labor markets, gender, and entrepreneurship has been published in high-impact peer-reviewed journals and discussed in leading international newspapers such as the Süddeutsche Zeitung, Frankfurter Allgemeine, La Nación, and The Nevada Independent. She regularly collaborates with some of the world’s foremost organizations (e.g. UNIDO, ILO, Women20 and Think20, the initiative groups within the G20) and gives invited keynote presentations on these and related topics. Personal website: www.sorgner.eu

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.

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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