Latest Documents

This report assesses the continued relevance of the OECD Recommendation on Cross-Border Co-operation in the Enforcement of Laws Protecting Privacy, originally adopted in 2007. It examines whether the Recommendation has kept pace with the evolving needs of Privacy Enforcement Authorities (PEAs) in light of significant technological and legal changes over the past 15 years. While the principles underlying the Recommendation are seen to remain solid, the report highlights several gaps and challenges for cross-border enforcement co-operation. It concludes that the OECD could either provide additional guidance to support the implementation of the Recommendation or consider revising it to better address current challenges.

Generative artificial intelligence (AI) creates new content in response to prompts, offering transformative potential across multiple sectors such as education, entertainment, healthcare and scientific research. However, these technologies also pose critical societal and policy challenges that policy makers must confront: potential shifts in labour markets, copyright uncertainties, and risk associated with the perpetuation of societal biases and the potential for misuse in the creation of disinformation and manipulated content. Consequences could extend to the spreading of mis- and disinformation, perpetuation of discrimination, distortion of public discourse and markets, and the incitement of violence. Governments recognise the transformative impact of generative AI and are actively working to address these challenges. This paper aims to inform these policy considerations and support decision makers in addressing them.

The digital security of communication networks is crucial to the functioning of our societies. Four trends are shaping networks, raising digital security implications: i) the increasing criticality of communication networks, ii) increased virtualisation of networks and use of cloud services, iii) a shift towards more openness in networks and iv) the role of artificial intelligence in networks. These trends bring benefits and challenges to digital security. While digital security ultimately depends on the decisions made by private actors (e.g. network operators and their suppliers), the report underlines the role governments can play to enhance the digital security of communication networks. It outlines key policy objectives and actions governments can take to incentivise the adoption of best practices and support stakeholders to reach an optimal level of digital security, ranging from light-touch to more interventionist approaches.

In May 2023, G7 Leaders identified topics for discussion in the Hiroshima Artificial Intelligence (AI) Process and called for an early stocktaking of opportunities and challenges related to generative AI. This report presents the results of a questionnaire to G7 members developed to support the stocktaking and help guide G7 discussions on common policy priorities about generative AI. It also provides a brief overview of the development of generative AI over time and across countries. The report and questionnaire results represent a snapshot in time: they are indicative of trends identified in the first half of 2023 in a rapidly evolving area of technology. The report helped inform and structure discussions of the G7 Hiroshima AI Process.

This report provides an overview of the policies and procedures for addressing child sexual exploitation and abuse (CSEA) material across the global top-50 online content-sharing services. It finds that only 10 of the 50 services define CSEA with sufficient detail to understand what is prohibited on their services, and only 20 of the services issue a transparency report on CSEA. Even among those services, there are significant variations in what behaviour is captured in their definitions, and the metrics, methodology and frequency of transparency reports differ across platforms. While good practices exist, the report reveals a fragmented response to this complex and evolving problem, which limits comparability and makes it challenging to conduct a thorough assessment of the overall impact of platforms’ efforts to combat CSEA.

This report focuses on regulatory sandboxes in artificial intelligence (AI), where authorities engage firms to test innovative products or services that challenge existing legal frameworks. Participating firms obtain a waiver from specific legal provisions or compliance processes to innovate. It highlights positive impacts like increased venture capital investment in fintech start-ups. It points out challenges, risks, and policy considerations for AI sandboxes, emphasizing interdisciplinary cooperation, building AI expertise, regulatory interoperability, and trade policy. It also addresses the importance of comprehensive criteria for eligibility and assessing trials, as well as the impact on innovation and competition.

In October 2021, twenty-one OECD countries and partner economies participated in an online product safety sweep to identify the degree to which products were available for sale online despite (i) being banned or recalled, (ii) having inadequate labelling or (iii) not meeting voluntary or mandatory product safety standards. Results reveal that large volumes of unsafe products are readily traded across borders and a 79% average rate of non-compliance (or potential non-compliance) with product safety standards and laws. More needs to be done by online marketplaces and other retailers to identify and remove unsafe product listings and by consumer authorities to deter non-compliance.

This report uses business consultations to investigate private-sector views on privacy and data protection rules for cross-border data flows. It aims to inform a more comprehensive understanding of challenges and ways forward for the policy agenda of ‘data free flow with trust’. While frameworks aimed at generating trust and facilitating data flows build on commonalities and elements of convergence, businesses identify challenges to fully operationalise them at the global level. In particular, businesses indicate the need for coherent principles and rules that are transparent and predictable, provide a practical balance between certainty and flexibility, and offer solutions that match business realities. Finally, the report highlights the need for greater international regulatory co-operation and leveraging the full range of options to uphold trust around privacy and data protection globally.

AI language models are a key component of natural language processing (NLP), a field of artificial intelligence (AI) focused on enabling computers to understand and generate human language. Language models and other NLP approaches involve developing algorithms and models that can process, analyse and generate natural language text or speech trained on vast amounts of data using techniques ranging from rule-based approaches to statistical models and deep learning. The application of language models is diverse and includes text completion, language translation, chatbots, virtual assistants and speech recognition. This report offers an overview of the AI language model and NLP landscape with current and emerging policy responses from around the world. It explores the basic building blocks of language models from a technical perspective using the OECD Framework for the Classification of AI Systems. The report also presents policy considerations through the lens of the OECD AI Principles.