photo of Olivia Erdelyi

Olivia Erdelyi

Senior Lecturer - University of Canterbury

Working groupExpert Group on AI Risk & Accountability
Stakeholder TypeBusiness
GPAI
ONE AI Member

Olivia Erdelyi is the senior lecturer at University of Canterbury, School of Law and Mercator Visiting Professor at University of Bonn, Germany.

Benefiting from a multidisciplinary background in artificial intelligence (AI), economics, law, and political science, she is interested in developing sustainable policies to enable beneficial development and societal adoption of emerging technologies, in particular AI. Her core focus is on developing robust regulatory and governance frameworks and proactively tackling economic, ethical, legal, societal, and policy issues raised by such technologies.
She is member of the OECD Expert Group on AI (AIGO) and OECD Network of Experts (ONE
AI) – working group on Classification of AI systems, the Future of Work Working Group of the Global Partnership on Artificial Intelligence (GPAI), the Forging a Coordinated AI Strategy for New Zealand Working Group of the AI Forum of New Zealand, and is involved in the initiative ”Reimagining Regulation for the Age of AI: New Zealand Pilot Project” spearheaded by the World Economic Forum’s Centre for the Fourth Industrial Revolution and the New Zealand government.
Prior to these roles, she worked with international law firms, the Court of Justice of the European Union, and the European Commission in corporate law and international financial regulation.

Olivia Erdelyi'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.

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