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  • 27-October-2023

    English

    The state of implementation of the OECD AI Principles four years on

    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.
  • 27-October-2023

    English

    Stocktaking for the development of an AI incident definition

    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.
  • 17-October-2023

    English

    Emerging trends in AI skill demand across 14 OECD countries

    This report analyses the demand for positions that require skills needed to develop or work with AI systems across 14 OECD countries between 2019 and 2022. It finds that, despite rapid growth in the demand for AI skills, AI-related online vacancies comprised less than 1% of all job postings and were predominantly found in sectors such as ICT and Professional Services. Skills related to Machine Learning were the most sought after. The US-focused part of the study reveals a consistent demand for socio-emotional, foundational, and technical skills across all AI employers. However, leading firms – those who posted the most AI jobs – exhibited a higher demand for AI professionals combining technical expertise with leadership, innovation, and problem-solving skills, underscoring the importance of these competencies in the AI field.
  • 16-October-2023

    English

    Measuring governments’ R&D funding response to COVID-19 - An application of the OECD Fundstat infrastructure to the analysis of R&D directionality

    This paper presents new evidence on the size and direction of governments’ R&D funding response to the COVID-19 pandemic through the exploration of a novel data infrastructure, the OECD Fundstat initiative for the analysis of government-funded R&D projects. The document reports on the exploratory development and application of automatic classification tools to detect relevant COVID-19 R&D funding, map salient topics and classify and allocate project funding according to priorities in the WHO COVID-19 R&D Blueprint, as well as comparing results with similar analysis of scientific publication output data. The results provide new insights on which areas of enquiry were prioritised by governmental R&D funding bodies.
  • 9-October-2023

    English

    The Impact of R&D tax incentives - Results from the OECD microBeRD+ project

    This document reports on the final output of the OECD microBeRD+ project. Drawing on the outcomes of previous work, this study presents new evidence on the impact of business R&D support policies – tax incentives and direct forms of support – on business R&D investment (R&D input additionality) and the innovation and economic performance of firms (R&D output additionality). The report also provides an exploratory analysis of R&D spillovers.
  • 22-September-2023

    English

    Review of the OECD Recommendation on Cross-Border Co-operation in the Enforcement of Laws Protecting Privacy

    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.
  • 18-September-2023

    English

    Initial policy considerations for generative artificial intelligence

    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.
  • 13-September-2023

    English

    Enhancing the security of communication infrastructure

    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.
  • 8-September-2023

    English

    Labour and Skills Demand in Alberta - Insights Using Big Data Intelligence

    This report examines Alberta's labour market trends, focusing on the impact of economic downturns, the COVID-19 crisis, and digital transformation. This study uses real-time labour market data, drawn from online job postings, to offer a granular perspective on demand dynamics across various sectors and occupations. The analysis in the report identifies emerging labour shortages in Alberta due to mega-trends such as digitalisation, AI adoption, automation, and population ageing and discusses key challenges such as youth unemployment and sector-specific labour shortages. The analysis in this report provides insights for policy makers, suggesting a need to support growing sectors, enhance digital skills development, address demand for health workers, and improve youth job access.
  • 8-September-2023

    English

    Digital Government Review of Latin America and the Caribbean - Building Inclusive and Responsive Public Services

    This report explores how governments in Latin America and the Caribbean can use digital technology and data to foster responsiveness, resilience and proactiveness in the public sector. This report looks at governance frameworks, digital government capabilities, data-driven public sector, public service design and delivery, and digital innovation in the public sector. It identifies trends, challenges, strengths, and opportunities for cross-border collaboration and provides policy recommendations to achieve an efficient and sustainable digital transformation of governments across the region.
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