Programme OECD.AI sur le Travail, l'Innovation, la Productivité et les Compétences

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.

Overview

The OECD is working with governments around the world to try to measure and analyse the impact of AI on training needs and labour markets. This site aims to help governments to shape AI-related policies that are responsible and human-centred, and that improve individual and societal well-being.

The International Conference on AI in Work, Innovation, Productivity and Skills took place 21 -25 February 2022. It was the second international conference of the OECD’s project on AI in Work, Innovation, Productivity and Skills. The OECD launched the OECD Framework for Classifying AI Systems. 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.

Publications

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The human capital behind AI: Jobs and skills demand from online job postings

OECD Science, Technology and Industry Policy PapersOECDseptembre 2021

Building on recent OECD work, this paper analyses the skills sets (“skills bundles”) demanded in artificial intelligence (AI)-related online job postings. The analysis uses Burning Glass Technologies’ data for the United States and the United Kingdom...

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Who develops AI-related innovations, goods and services? A firm-level analysis

OECD Science, Technology and Industry Policy PapersOECDseptembre 2021

This study proposes an exploratory analysis of the characteristics of Artificial Intelligence (AI) “actors”. It focuses on entities that deploy AI-related technologies or introduce AI-related goods and services on large international markets. It buil...

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Artificial intelligence companies, goods and services – A trademark-based analysis

OECD Science, Technology and Industry Working PaperOECDmai 2021

This work proposes an experimental methodology to identify and measure artificial intelligence (AI)-related trademarks. It aims to shed light on the extent to which (new) companies and products appearing on the market rely on, exploit or propose AI-r...

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Demand for AI Skills in Jobs: Evidence from online job postings

OECD Science, Technology and Industry Working PaperOECDmars 2021

This report presents new evidence about occupations requiring artificial intelligence (AI)-related competencies, based on online job posting data and previous work on identifying and measuring developments in AI. It finds that the total number of AI-...

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AI measurement in ICT usage surveys

OECD Digital Economy PapersOECDmars 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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The impact of Artificial Intelligence on the labour market: What do we know so far?

OECD Social, Employment and Migration Working PapersOECDjanvier 2021

This literature review takes stock of what is known about the impact of artificial intelligence on the labour market, including the impact on employment and wages, how AI will transform jobs and skill needs, and the impact on the work environment. Th...

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

OECD Science, Technology and Industry Working PapersOECDmai 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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Artificial Intelligence in Society

OECDjuin 2019

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, imp...

Informations en direct


KI Observatorium logo KI-Observatorium (Observatoire de l'IA)

L'Observatoire allemand de l'IA a été lancé le 3 mars 2020 à Berlin. L'Observatoire de l'IA s'appuie sur la stratégie pour l'Intelligence Artificielle du gouvernement fédéral et est situé au sein du Policy Lab Digital, Work and Society - un groupe de réflexion agile du ministère fédéral allemand du Travail et des Affaires sociales (BMAS)

Avec l'Observatoire de l'IA, le BMAS met en œuvre un axe essentiel de la stratégie d'IA du gouvernement fédéral. En effet, l'Observatoire a pour objectif de permettre et de promouvoir l'utilisation responsable, centrée sur les personnes et participative de l'IA dans le monde du travail et la société. L'Observatoire agira en tant que vecteur de connaissances et force motrice tant à l'intérieur qu'à l'extérieur du BMAS. De plus, il a une fonction transversale aux nombreuses impliquée dans de nombreuses mesures mises en œuvre par le BMAS dans le cadre de la stratégie d'IA.

Les tâches et objectifs de l'Observatoire de l'IA comprennent:

  • Analyse d'impact, élaboration de scénarios et suivi des tendances afin de développer des lignes directrices, des audits et des cadres d'action pour l'utilisation de l'IA dans le monde du travail
  • Développement de procédures et de méthodes de contrôle et de traçabilité des systèmes de prévision algorithmique et de prise de décision
  • Rendre la problématique de l'IA accessible afin de favoriser un dialogue social sur celle-ci et de permettre la coopération avec les observatoires de l'IA au niveau transnational
  • Lignes directrices, études, documentation et cas pratiques afin d'améliorer les compétences et de répondre aux principaux besoins de qualifications et de qualifications

Domaines de politique publique en lien

Education

Education

Employment

Emploi

Innovation

Innovation

Social and welfare issues

IA & prestations et questions sociales

Avec le soutien de:

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