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In 2019, the OECD Council adopted the Recommendation on Artificial Intelligence (the 'OECD AI Principles'). These include five values-based principles and five recommendations for OECD countries and adhering partner economies to promote responsible and trustworthy AI policies. This report takes stock of initiatives launched by countries worldwide to implement the OECD AI Principles which were reported to the OECD.AI Policy Observatory as of May 2023. It provides an overview of national AI strategies, including their oversight and monitoring bodies, expert advisory groups, as well as their monitoring and evaluation frameworks. It also discusses the various regulatory approaches that countries are adopting to ensure AI trustworthiness, such as ethics frameworks, AI-specific regulations, and regulatory sandboxes. Additionally, the report offers policy examples for each of the ten OECD AI Principles to facilitate cross-learning among policymakers.

This paper takes stock of the institutional set-ups, mechanisms and practices used by governments, and in particular centres of government, to steer climate change policy. To respond effectively to climate change, governments need decision-making and co-ordinating processes that reflect the complexity and pressing nature of the climate crisis, the multitude of stakeholders involved, and the need to balance between short-term and long-term policy objectives. With their unique positioning, centres of government in OECD Member countries often play a crucial role in providing leadership and co-ordination for climate policy. The first part of this paper identifies the institutional arrangements, mandates and skillsets of centres of government for climate-related action. The second part analyses the centre’s stewardship role at different stages of the policy cycle, touching on strategic planning, co-ordination, the development of evidence-informed policies, and monitoring as well as overall efforts to 'green' public administrations.

Artificial intelligence (AI) offers tremendous benefits but also poses risks. Some of these risks have materialised into what are known as 'AI incidents'. Due to the widespread use of AI in various sectors, a surge in such incidents can be expected. To effectively monitor and prevent these risks, stakeholders need a precise yet adaptable definition of AI incidents. This report presents research and findings on terminology and practices related to incident definitions, encompassing both AI-specific and cross-disciplinary contexts. It establishes a knowledge base for identifying commonalities and encouraging the development of AI-specific adaptations in the future.

This report addresses housing inequities through a series of analytical chapters and case studies. The cross-country chapters examine the effects of the COVID-19 pandemic on housing demand, develop a proposal for a green land value tax, evaluate the dynamics between fiscal autonomy and housing supply responsiveness, as well as explore the drivers of inter-regional migration. The case studies unravel the changes of Korea's progressive national property tax and a programme to address regional imbalances, assess the impact of the US property tax system on housing, dive into Norway's property taxation in relation to inequality, as well as survey Belgium's approaches to housing policy. With a blend of empirical data and critical analysis, the report underscores the pressing need for comprehensive strategies in addressing housing inequities. It also offers insights for policymakers and scholars, highlighting the complex balance between national and local housing policies.

This Review assesses the Federal Planning Bureau (FPB) and its institutional, operational and analytical performance as an independent fiscal institution. The FPB’s responsibilities have been growing and this Review provides insights into how effectively the institution continues to serve the needs of its stakeholders. As part of this, it looks at the Bureau’s performance related to its new mandate to undertake election budgetary costings and impact assessment, carried out for the first time in relation to the 2019 election.

These guidelines discuss cross-cutting issues that can affect the effective procurement of infrastructure and associated services necessary to host Olympic and Paralympic Games. Designed for organising committees responsible for the overall delivery of the Games, the guidelines offer examples, good practices and practical tools to help mitigate these risks. They also provide checklists to help organisers of large international events assess their exposure to the risks identified in this report.

Smart cities leverage technologies, in particular digital, to generate a vast amount of real-time data to inform policy- and decision-making for an efficient and effective public service delivery. Their success largely depends on the availability and effective use of data. However, the amount of data generated is growing more rapidly than governments’ capacity to store and process them, and the growing number of stakeholders involved in data production, analysis and storage pushes cities data management capacity to the limit. Despite the wide range of local and national initiatives to enhance smart city data governance, urban data is still a challenge for national and city governments due to: insufficient financial resources; lack of business models for financing and refinancing of data collection; limited access to skilled experts; the lack of full compliance with the national legislation on data sharing and protection; and data and security risks. Facing these challenges is essential to managing and sharing data sensibly if cities are to boost citizens’ well-being and promote sustainable environments.

The Brussels-Capital Region has witnessed significant improvements in its labour market over the past decade. Local job creation has been driven by ample opportunities for highly-skilled workers whom the Brussels-Capital Region attracts from its surrounding regions, the European Union, and beyond. However, not all of the region’s population has seen their labour market prospects improve equally. Many workers with lower levels of education continue to compete for a small number of vacancies, despite the increasingly tightening labour market. A future vision for the Brussels-Capital Region, therefore, needs to be built on recognising and addressing the multiple and often distinct challenges faced by its young and diverse population. In a labour market that offers high rewards for skills formation, tailoring continuous education and training offerings to different groups while removing barriers to participation in such programmes will need to take priority. Simplifying processes for accessing employment services, streamlining labour market policies, supporting the geographic mobility of less-educated jobseekers, and removing barriers to employment for its migrant population could serve as building blocks to increase labour force participation and improve the employment quality of all local talent.

The assessment report explores the innovative capacity of the Latvian public sector to understand how innovation can be better supported and leveraged to improve the public sector's effectiveness and impact. It provides an evidence base for the development of a public sector innovation strategy and action plan.