OECD programme on AI in Work, Innovation, Productivity and Skills

The OECD programme on AI in Work, Innovation, Productivity and Skills (AI-WIPS) - with the support of Germany – analyses the impact of AI on the labour market, skills and social policy.

Classification

On 25 February, the conference will be the platform for launching the OECD AI Systems Classification Framework at the Second International Conference on AI in Work, Innovation, Productivity, and Skills. The OECD.AI Network of Experts developed the framework with the help of public feedback to make it more robust and useful for policy makers and other stakeholders. Register now.

AI systems have become part of virtually every aspect of our daily lives with varying degrees of complexity, and the workplace and labour markets are no exception. If policy makers are to keep up, they must be able to understand AI systems. For that to happen, it is important to establish AI system classifications and taxonomies. In addition to coherent policies and regulatory approaches, AI classification will help to develop meaningful indicators and statistics. Any international or cross-sectoral comparisons will need a classification tool for accurate and like-for-like measures across policy areas. When it comes to the workforce, these comparisons will be essential for monitoring AI diffusion and its impact on labour and education. To address this need for a common classification system, the OECD is focusing on five activities:

  • Develop user-friendly framework to classify AI systems
  • Define core technologies and applications related to AI
  • Map augmenting and labour-saving technologies related to AI
  • Develop OECD guidance for measuring AI in existing surveys, particularly R&D and innovation surveys
  • Define and classify AI technologies found in the work environment

Videos

The OECD Al Systems Classification Framework

The OECD Al Systems Classification Framework

February 6, 2021clock90 mins
Developing and applying AI: Core and non-core AI

Developing and applying AI: Core and non-core AI

February 6, 2021clock60 mins
The OECD Framework for the Classification of AI Systems

The OECD Framework for the Classification of AI Systems

February 2, 2021clock4 mins
AI System Classification for Policymakers

AI System Classification for Policymakers

January 28, 2021clock13 mins
Developing a Classification of AI Systems

Developing a Classification of AI Systems

August 31, 2020clock2 mins
Enabling effective AI policies: Launch of the OECD Framework for Classifying AI Systems

Enabling effective AI policies: Launch of the OECD Framework for Classifying AI Systems

March 3, 2022clock60mins

Publications

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AI measurement in ICT usage surveys

OECD Digital Economy PapersOECDMarch 2021

This paper takes stock of official statistics on AI use in firms collected through ICT usage surveys. Its aim is to highlight statistically sound data that can be used to guide policymakers and other stakeholders in the complex field of AI. It provid...

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Identifying and measuring developments in artificial intelligence: Making the impossible possible

OECD Science, Technology and Industry Working PapersOECDMay 2020

This paper identifies and measures developments in science, algorithms and technologies related to artificial intelligence (AI). Using information from scientific publications, open source software (OSS) and patents, it finds a marked increase in AI-...

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Scoping the OECD AI principles: Deliberations of the Expert Group on Artificial Intelligence at the OECD (AIGO)

OECDNovember 2019

Artificial intelligence (AI) is reshaping economies, promising to generate productivity gains, improve efficiency and lower costs. At the same time, AI is also fuelling anxieties and ethical concerns. As AI’s impacts permeate our societies, its trans...

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