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  • 28-June-2021

    English

    Tools for trustworthy AI - A framework to compare implementation tools for trustworthy AI systems

    As artificial intelligence (AI) advances across economies and societies, stakeholder communities are actively exploring how best to encourage the design, development, deployment and use of AI that is human-centred and trustworthy. This report presents a framework for comparing tools and practices to implement trustworthy AI systems as set out in the OECD AI Principles. The framework aims to help collect, structure and share information, knowledge and lessons learned to date on tools, practices and approaches for implementing trustworthy AI. As such, it provides a way to compare tools in different use contexts. The framework will serve as the basis for the development of an interactive, publicly available database on the OECD.AI Policy Observatory. This report informs ongoing OECD work towards helping policy makers and other stakeholders implement the OECD AI Principles in practice.
  • 18-June-2021

    English

    State of implementation of the OECD AI Principles - Insights from national AI policies

    This is the first report on the state of implementation of the policy recommendations to governments contained in the OECD Principles on Artificial Intelligence adopted in May 2019. This report presents a conceptual framework, provides findings, identifies good practices, and examines emerging trends in AI policy, particularly on how countries are implementing the five recommendations to policy makers contained in the OECD AI Principles. The report builds both on the expert input provided at meetings of the OECD.AI Network of Experts working group on national AI policies that took place online from February 2020 to April 2021 and on the EC-OECD database of national AI strategies and policies. As policy makers and AI actors around the world move from principles to implementation, this report aims to inform the implementation of the OECD AI Principles. This report is also a contribution to the OECD AI Policy Observatory.
  • 17-June-2021

    English

    Implementation toolkit on legislative actions for consumer protection enforcement co-operation

    Countries have made significant efforts in recent years to develop domestic, regional and international frameworks for consumer protection enforcement co-operation across borders. However, recent work by the OECD Committee on Consumer Policy has shown that challenges remain in many countries, in particular a lack of legal authority to fully engage in enforcement co-operation. This toolkit acts a practical resource for consumer protection enforcement agencies that do not currently have the domestic legal authority needed for enforcement co-operation to make the case for obtaining relevant legislative tools. It also provides guidance to ensure related legislative reforms are fit for purpose. The toolkit sets out a range of legislative actions countries may take to improve cross-border enforcement co-operation, covering investigatory powers, enforcement outcomes and co-operation practices. Its annex addresses operational and legal issues, and provides concrete examples of cases and legislation from a broad range of both OECD countries and partner economies.
  • 15-June-2021

    English

    Consumer Product Safety

    OECD work on consumer product safety is aimed at strengthening information sharing on safety issues across borders.

    Related Documents
  • 11-June-2021

    English

    Laying the foundations for artificial intelligence in health

    Artificial intelligence (AI) has the potential to make health care more effective, efficient and equitable. AI applications are on the rise, from clinical decision-making and public health, to biomedical research and drug development, to health system administration and service redesign. The COVID-19 pandemic is serving as a catalyst, yet it is also a reality check, highlighting the limits of existing AI systems. Most AI in health is actually artificial narrow intelligence, designed to accomplish very specific tasks on previously curated data from single settings. In the real world, health data are not always available, standardised, or easily shared. Limited data hinders the ability of AI tools to generate accurate information for diverse populations with potentially very complex conditions. Having appropriate patient data is critical for AI tools because decisions based on models with skewed or incomplete data can put patients at risk. Policy makers should beware of the hype surrounding AI and identify and focus on real problems and opportunities that AI can help address. In setting the foundations for AI to help achieve health policy objectives, one key priority is to improve data quality, interoperability and access in a secure way through better data governance. More broadly, policy makers should work towards implementing and operationalising the OECD AI Principles, as well as investing in technology and human capital. Strong policy frameworks based on inclusive and extensive dialogue among all stakeholders are also key to ensure AI adds value to patients and to societies. AI that influences clinical and public health decisions should be introduced with care. Ultimately, high expectations must be managed, but real opportunities should be pursued.
  • 19-mai-2021

    Français

    L’OCDE rejoint l’Appel de Christchurch à agir contre le terrorisme et l’extrémisme violent en ligne

    L’OCDE a rejoint l’Appel de Christchurch à agir contre le terrorisme et l’extrémisme violent en ligne, venant ainsi grossir les rangs d’une coalition internationale de parties prenantes qui luttent contre l’utilisation que font de l’internet les terroristes et extrémistes violents.

    Documents connexes
  • 12-mai-2021

    Français

    L’impact de la croissance de l'économie du partage et à la demande sur la politique et l’administration de la TVA/TPS

    Ce rapport vise à aider les autorités fiscales à concevoir et à mettre en œuvre une réponse politique efficace en matière de taxe sur la valeur ajoutée/taxe sur les produits et services (TVA/TPS) à la croissance de l'économie du partage et à la demande. L’essor de ce phénomène, alimenté par les plateformes numériques, a transformé un certain nombre d'industries en quelques années seulement. Cette nouvelle réalité fait intervenir de nombreux nouveaux acteurs économiques (souvent des particuliers), qui monétisent (souvent) des biens et services sous-utilisés en les proposant, via des plateformes numériques, pour une utilisation temporaire (« partagée ») par des consommateurs essentiellement privés. Des questions ont été soulevées quant à savoir si les cadres de politique et d'administration existants en matière de TVA/TPS sont suffisamment capables de faire face à cette nouvelle réalité économique, notamment en vue de protéger les recettes de la TVA/TPS et de minimiser les distorsions économiques. Ce rapport présente les éléments essentiels d'une stratégie globale de politique TVA/TPS à prendre en compte par les autorités fiscales pour y répondre. Il analyse les principales caractéristiques de l'économie du partage et à la demande et ses principaux modèles économiques, il identifie les défis et opportunités associés en matière de TVA/TPS et présente un large éventail de mesures et d'approches possibles pour la mise en œuvre d’une réponse politique efficace. Cela comprend des orientations détaillées sur le rôle que les plateformes numériques peuvent jouer dans la facilitation et l'amélioration du respect des règles de la TVA/TPS dans l'économie du partage et à la demande.
  • 7-May-2021

    English

    To what extent can blockchain help development co-operation actors meet the 2030 Agenda?

    Blockchain is mainstreaming, but the number of blockchain for development use-cases with proven success beyond the pilot stage remain relatively few. This paper outlines key blockchain concepts and implications in order to help policymakers reach realistic conclusions when considering its use. The paper surveys the broad landscape of blockchain for development to identify where the technology can optimise development impact and minimise harm. It subsequently critically examines four successful applications, including the World Food Programme’s Building Blocks, Oxfam’s UnBlocked Cash project, KfW’s TruBudget and Seso Global. As part of the on-going work co-ordinated by the OECD’s Blockchain Policy Centre, this paper asserts that post-COVID-19, Development Assistance Committee (DAC) donors and their development partners have a unique opportunity to shape blockchain’s implementation.
  • 5-May-2021

    English

    A new era of digitalisation for ocean sustainability? - Prospects, benefits, challenges

    As the United Nations Decade on Ocean Science for Sustainable Development begins, this paper explores recent and likely future digital technologies - especially in the field of ocean observation - that will contribute to ocean sustainability. It examines advances that could lead to substantial improvements in the data collection and analysis of the impact of climate change and human activity on marine ecosystems, while also contributing to the monitoring and reduction of the ecological footprint of ocean-related economic activity. The paper also provides preliminary reflections on how the COVID-19 pandemic might affect digitalisation in the ocean economy, and what strategies could help support ocean research and innovation during and after the crisis.
  • 4-May-2021

    English

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

    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-related goods and services, and to help identify the companies and organisations that are active in the AI space. The paper finds evidence that AI-related goods and services have expanded in consumer markets in recent years. Companies and other economic agents appear to register AI-related trademarks primarily to protect computer-related products and/or services, especially software, audio-visual devices and for analytical purposes. Important trademark activities related to AI also emerge in the education space, with AI-related keywords being frequently associated with educational services as well as classes, publications, workshops and online material.
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