Karine Perset

Acting Head of the OECD Division on AI and Emerging Digital Technologies - 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

Working groupExpert Group on AI, Data and Privacy

Stakeholder TypeIntergovernmental

OECD Secretariat

ONE AI Member

AI Wonk contributor

Karine Perset is the Acting Head of the OECD AI and Emerging Digital Technologies Division, where she oversees the OECD.AI Policy Observatory, the Global Partnership on AI (GPAI) & integrated network of experts as well as the OECD Global Forum on Emerging Technologies. She oversees the development of analysis, policies and tools inline with the OECD AI Principles. She also helps governments manage the opportunities and challenges that AI and emerging technologies raise for governments. 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's publications

Intergovernmental

OECD AI Review of Germany: A new phase for Germany’s AI strategy

Germany stands at a crucial juncture in its journey towards becoming a global leader in AI.

June 11, 2024 — 4 min read

Intergovernmental

Building the foundations for collaboration: The OECD-African Union AI Dialogue

The dialogue facilitated discussions on AI governance and addressed joint challenges.

April 12, 2024 — 7 min read

Intergovernmental

A first look at the OECD’s Framework for the Classification of AI Systems, designed to give policymakers clarity

Find out about the OECD’s Framework for the Classification of AI Systems and follow the next steps.

November 24, 2020 — 5 min read

Intergovernmental

OECD.AI Policy Observatory launch brings experts together to share and shape AI policy

OECD.AI provides the widest possible audience with information about the OECD AI Principles , AI-related data and news.

June 11, 2020 — 4 min read

Intergovernmental

Participate in the OECD’s pilot on monitoring the application of the G7 Code of Conduct for Organisations Developing Advanced AI Development

the OECD and G7 members are taking a crucial step towards fostering a safer and more trustworthy AI ecosystem.

July 23, 2024 — 3 min read

Intergovernmental

Six crucial policy considerations for AI, data governance, and privacy: Insights from the OECD

Six crucial policy considerations to harmonise AI’s advancements with privacy principles

June 26, 2024 — 4 min read

Intergovernmental

Evolving with innovation: The 2024 OECD AI Principles update

The principles now address better address issues related to safety, privacy, intellectual property rights and information integrity.

May 20, 2024 — 5 min read

Intergovernmental

Name it to tame it: Defining AI incidents and hazards

Complete and accurate definitions of AI incidents and hazards should capture all aspects of harm.

May 17, 2024 — 5 min read

Intergovernmental

What is AI? Can you make a clear distinction between AI and non-AI systems?

OECD countries agreed to define the characteristics of machines considered to be AI.

March 6, 2024 — 8 min read

Intergovernmental

A new expert group at the OECD for policy synergies in AI, data, and privacy

Governments worldwide can benefit from AI and privacy communities working together to achieve common goals.

February 21, 2024 — 7 min read

Intergovernmental

Updates to the OECD’s definition of an AI system explained

We want to respond to the interest our community has shown in the definition with a short explanation.

November 29, 2023 — 4 min read

Intergovernmental

The OECD AI Incidents Monitor: an evidence base for effective AI policy

AIM is the first step to producing evidence and foresight on AI incidents for sound policymaking and international cooperation.

November 14, 2023 — 4 min read

Intergovernmental

Regulatory sandboxes can facilitate experimentation in artificial intelligence

Regulatory sandboxes are a dynamic, evidence-based approach to regulation.

May 31, 2023 — 5 min read

Intergovernmental

What do AI systems and cows have in common?

To produce high quality outputs, cows, like AI systems, require care, feeding, and surveillance.

March 2, 2022 — 6 min read

Intergovernmental

The OECD Framework for Classifying AI Systems to assess policy challenges and ensure international standards in AI

The classification framework can help policy makers understand and map the affects of AI systems on societies and economies.

February 17, 2022 — 4 min read

Karine Perset's videos

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

February 12, 2021–

4 mins

The OECD Al Systems Classification Framework

February 6, 2021–

90 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

February 2, 2021–

4 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

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

February 12, 2021

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

Questionnaire: Criteria used to analyze real use cases at workplace (GPAI WG FoW)

new— October 9, 2020

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.