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  • 29-September-2022

    English

    Data governance indicators

    This portal brings together OECD indicators on data, its impact and governance, which is a current focus of the OECD Going Digital project.

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  • 13-June-2022

    English

    Protecting our rights in the digital age

    The OECD and the Spanish government are hosting a series of three workshops to provide an overview of the different paths that policy makers may choose to protect our rights in an increasingly connected world.

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  • 20-May-2022

    English

    Companion Document to the OECD Recommendation on Children in the Digital Environment

    The OECD Recommendation on Children in the Digital Environment provides guidance for governments and other stakeholders on putting in place policies and procedures to empower and protect children in the digital environment. The Recommendation was developed in recognition that the digital environment is a fundamental part of children’s daily lives, and that strong policy frameworks are needed to both protect children from any potential harm, and to help them realise the opportunities that it can bring. This companion document aims to assist governments and other stakeholders in implementing the Recommendation. It expands upon the context in which the Recommendation was developed, and considers in detail specific aspects of the Recommendation, in particular different stakeholders and their roles (e.g. parents, governments, digital service providers) as well as key underlying concepts such as children’s privacy, digital literacy and child safety by design.
  • 20-May-2022

    English

    Assessing national digital strategies and their governance

    The form, content and governance of national digital strategies varies significantly across countries, and questions have arisen as to what a national digital strategy should cover and how to govern it. This paper analyses national digital strategies and their governance across countries. It proposes a novel methodology to assess the comprehensiveness of national digital strategies using newly collected policy information and applying the OECD Going Digital Integrated Policy Framework as a benchmark. The resulting indicator – the NDSC – measures national digital strategy comprehensiveness, providing insights into the potential of a country’s national digital strategy to co-ordinate the policies needed to make digital transformation work for growth and well-being. The NDSC is available interactively on the OECD Going Digital Toolkit.
  • 3-May-2022

    English

    Voluntary Transparency Reporting Framework (VTRF)

    This new web portal is designed for submitting and accessing standardised transparency reports from online content-sharing services about their policies and actions to counter terrorist and violent extremist content online.

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  • 29-March-2022

    English

    Going Digital Toolkit notes

    These notes cover a range of policy and measurement challenges in the digital age. They identify key aspects to consider and provide innovative approaches to addressing challenges.

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  • 8-March-2022

    English

    Does AI advance gender equality? The effects of AI on the working lives of women

    In partnership with UNESCO and the IDB, this virtual panel discussion on 8 March will address the effects of artificial intelligence on women entering the labour force, changing skills requirements, and the impacts of AI on women's work environment and career progression.

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  • 22-February-2022

    English

    OECD Framework for the Classification of AI systems

    As artificial intelligence (AI) integrates all sectors at a rapid pace, different AI systems bring different benefits and risks. In comparing virtual assistants, self-driving vehicles and video recommendations for children, it is easy to see that the benefits and risks of each are very different. Their specificities will require different approaches to policy making and governance. To help policy makers, regulators, legislators and others characterise AI systems deployed in specific contexts, the OECD has developed a user-friendly tool to evaluate AI systems from a policy perspective. It can be applied to the widest range of AI systems across the following dimensions: People & Planet; Economic Context; Data & Input; AI model; and Task & Output. Each of the framework's dimensions has a subset of properties and attributes to define and assess policy implications and to guide an innovative and trustworthy approach to AI as outlined in the OECD AI Principles.
  • 21-February-2022

    English

    2nd International Conference on AI in Work, Innovation, Productivity and Skills, 21-25 February 2022

    This virtual event brings together leading voices from the technical, policy, business, academic and civil society communities to present insights on the adoption of AI in firms and the workplace, ethics of its use, and implications on skills, business dynamics, and productivity. It will also see the launch of the OECD AI Systems Classification Framework.

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  • 14-January-2022

    English

    Labour-saving technologies and employment levels - Are robots really making workers redundant?

    This paper exploits natural language processing techniques to detect explicit labour-saving goals in inventive efforts in robotics and assess their relevance for different occupational profiles and the impact on employment levels. The analysis relies on patents published by the European Patent Office between 1978 and 2019 and firm-level data from ORBIS® IP. It investigates innovative actors engaged in labour-saving technologies and their economic environment (identity, location, industry), and identifies technological fields and associated occupations which are particularly exposed to them. Labour-saving patents are concentrated in Japan, the United States, and Italy, and seem to affect low-skilled and blue-collar jobs, along with highly cognitive and specialised professions. A preliminary analysis does not find an appreciable negative effect on employment shares in OECD countries over the past decade, but further research to econometrically investigate the relationship between labour-saving technological developments and employment would be helpful.
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