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This report presents research and findings on accountability and risk in AI systems by providing an overview of how risk-management frameworks and the AI system lifecycle can be integrated to promote trustworthy AI. It also explores processes and technical attributes that can facilitate the implementation of values-based principles for trustworthy AI and identifies tools and mechanisms to define, assess, treat, and govern risks at each stage of the AI system lifecycle. This report leverages OECD frameworks – including the OECD AI Principles, the AI system lifecycle, and the OECD framework for classifying AI systems – and recognised risk-management and due-diligence frameworks like the ISO 31000 risk-management framework, the OECD Due Diligence Guidance for Responsible Business Conduct, and the US National Institute of Standards and Technology’s AI risk-management framework.

Open banking allows users to access financial information and services through consent-based data portability. This paper brings together the views of private and public experts from a wide variety of countries to explore opportunities and challenges of open banking for financial regulation, privacy protection, and competition. It discusses the different approaches taken by jurisdictions across the globe, and the importance of regulation and standards. While open banking empowers users in sharing and re-using their data across digital services, online platforms, sectors and borders, uncertainty in the interactions with data protection and privacy regimes remains challenging. This paper informs OECD work to consider how cross-sectoral cooperation between financial, competition and data protection authorities could help further open banking.

This paper uses information collected and provided by GlassAI to analyse the characteristics and activities of companies and universities in Canada, Germany, the United Kingdom and the United States that mention keywords related to Artificial Intelligence (AI) on their websites. The analysis finds that those companies tend to be young and small, mainly operate in the information and communication sector, have AI at the core of their business, and aim to provide customer solutions. It is noteworthy that the types of AI-related activities reported by them vary across sectors. Additionally, although universities are concentrated in and around large cities, this is not necessarily reflected in the intensity of AI-related activities. Taken together, this novel and timely evidence informs the debate on the most recent stages of digital transformation of the economy.

This work employs a novel approach to identify and characterise firms adopting Artificial Intelligence (AI), using different sources of large microdata. Focusing on the United Kingdom, the analysis combines data on Intellectual Property Rights, website information, online job postings, and firm-level financials for the first time. It shows that a significant share of AI adopters is active in Information and Communication Technologies and professional services, and is located in the South of the United Kingdom, particularly around London. Adopters tend to be highly productive and larger than other firms, while young adopters tend to hire AI workers more intensively. Human capital appears to play an important role, not only for AI adoption but also for firms’ productivity returns. Significant differences in the characteristics of AI adopters emerge when distinguishing between firms carrying out AI innovation, those with an AI core business, and those searching for AI talent.

The OECD Policy Framework on Digital Security charts the economic and social dimension of cybersecurity, highlights the OECD approach to digital security policy and equips policymakers to use OECD digital security Recommendations in developing better policies. The Framework also identifies linkages with other policy areas addressed through existing OECD standards and tools. The OECD has been at the forefront of international efforts on guiding policy makers in the area of digital security since 1990 and has become the primary international standard setter in this area. OECD Recommendations on digital security support stakeholders in developing digital security policies for economic and social prosperity, in line with the OECD’s mandate to help governments develop 'better policies for better lives'.

As our online and offline lives become increasingly interwoven, policy makers have to consider how to protect individual interests and rights. This paper considers the impact of digital transformation on internationally recognised human rights, legal and constitutional rights, and domestically protected interests. It sets out three case studies, freedom of expression, privacy and Internet access, and provides a brief overview of current international and domestic initiatives to protect 'rights in the digital age'. The paper sets the scene for further discussion on the issue and supports policy makers in designing and achieving a rights-oriented and human-centric digital transformation.

Digital technologies underpin the creation, generation, collection, transfer and use of data, and digital technological development and deployment shape data governance policy debates. This report analyses how technological development can raise different issues for data governance through the example of connected and automated vehicles, which collect large volumes of data that are likely to be personal. Through the example of these vehicles, this report explores data governance in an evolving technological landscape, and offers recommendations to ensure policies remain resilient to technological change over time.

Data are generated wherever digital technologies are deployed namely, in almost every part of modern life. Using these data can empower individuals, drive innovation, enable new digital products and improve policy making and public service delivery. But as data become more widely used across sectors and applications, the potential for misuse and harm also grows. To advance data governance for growth and well-being, this report advocates a holistic and coherent approach to data governance, domestically and across borders. It examines how data have emerged as a strategic asset, with the ability to transform lives and confer economic advantage. It explains how the unique characteristics of data can pose complex trade-offs and challenge policies that pre-date the data-driven era. This report provides new insights, evidence and analysis and outlines considerations for better data governance policies in the digital age.

The ubiquitous collection, use, and sharing of data that power today’s economies challenge existing governance frameworks and policy approaches. Drawing on the extensive research and analysis conducted at the OECD on data governance, on countries’ policies and practices, and the OECD legal instruments in this area, the Going Digital Guide to Data Governance Policy Making supports policy makers in navigating three fundamental policy tensions that characterise efforts to develop, revise, and implement policies for data governance across policy domains in the digital age: balancing data openness and control while maximising trust; managing overlapping and potentially conflicting interests and regulations related to data; incentivising investments in data and their effective re-use. The operative part of the guide consists of a checklist of questions to orient policy makers as they develop and revise effective policies for data governance, based on possible policy approaches and real-life examples.