photo of Karine Perset

Karine Perset

Head of AI Unit and OECD.AI, OECD Digital Economy Policy Division - OECD

Working groupExpert Group on Compute & Climate
Working groupExpert Group on AI Incidents
Working groupExpert Group on AI Risk & Accountability
Working groupExpert Group on AI Futures
Stakeholder TypeIntergovernmental
OECD Secretariat
ONE AI Member

Karine Perset heads the AI Unit of the OECD Division for Digital Economy Policy, where she oversees the OECD.AI Policy Observatory and the OECD.AI Network of Experts. She focuses on the opportunities and challenges AI raises for governments, policies to help implement the OECD AI Principles and developing trends in AI. Previously she was Advisor to ICANN’s Governmental Advisory Committee and Counsellor of the OECD’s Science, Technology and Industry Director. Karine is Franco-American.

Karine Perset dirige l’Unité IA de la Division des politiques de l’économie numérique de l’OCDE. Elle est responsable de l’Observatoire des politiques d’IA de l’OCDE et de son réseau d’experts. Elle se penche sur la mise en œuvre des principes IA de l’OCDE dans les politiques publiques et sur les orientations du développement de l’IA. Elle était auparavant conseillère auprès du Comité consultatif gouvernemental de l’ICANN et conseillère des directeurs STI de l’OCDE. Karine est franco-américaine.

Karine Perset's publications

Karine Perset's videos

OECD.AI live data about AI jobs and skills and more

OECD.AI live data about AI jobs and skills and more

February 12, 2021clock4 mins
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.

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.

Karine Perset's documents

Intergovernmental

The OECD Framework for the Classification of AI systems

Key dimensions structure AI system characteristics and interactions The framework classifies AI systems and applications along the following dimensions: People & Planet, Economic Context, Data & Input, AI Model and Task & Output. Each one has its own properties and attributes or sub-dimensions relevant to assessing policy considerations of particular AI systems. February 17, 2022

OECD’s work on AI With a view on COVID-19

Initially presented during the OECD webinar: Artificial Intelligence in the time of COVID-19: Insights for Latin America and the Caribbean on 5 November 2020 by Karine Perset.November 10, 2020

OECD’s work on AI With a view on COVID-19

Initially presented during the OECD webinar: Artificial Intelligence in the time of COVID-19: Insights for Latin America and the Caribbean on 5 November 2020 by Karine Perset.November 10, 2020

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