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The form, content and governance of national digital strategies varies significantly across countries, and questions have arisen as to what a national digital strategy should cover and how to govern it. This paper analyses national digital strategies and their governance across countries. It proposes a novel methodology to assess the comprehensiveness of national digital strategies using newly collected policy information and applying the OECD Going Digital Integrated Policy Framework as a benchmark. The resulting indicator – the NDSC – measures national digital strategy comprehensiveness, providing insights into the potential of a country’s national digital strategy to co-ordinate the policies needed to make digital transformation work for growth and well-being. The NDSC is available interactively on the OECD Going Digital Toolkit.

The study identifies the main factors that affect the diffusion of digital technologies and their returns among Italian firms, highlighting the crucial role of public policies. It uses a unique data infrastructure that integrates information on digital technology adoption, firm performance, and workers’ and managers’ skills. The analysis shows that the low digitalisation of Italian firms, especially of SMEs, can be traced back to the low levels of three factors: i) workers’ skills, ii) management capabilities, and iii) accumulation of intangible assets. These factors are also crucial to maximise the effectiveness of public policies supporting firm digitalisation, such as the deployment of broadband infrastructure and fiscal incentives to investments in digital technologies. Finally, the analysis shows that the COVID-19 crisis contributed to further widening the digital gap between Italian firms, favouring ex-ante more digitalised companies, suggesting that public policies play a crucial role for the post-COVID-19 recovery.

As artificial intelligence (AI) integrates all sectors at a rapid pace, different AI systems bring different benefits and risks. In comparing virtual assistants, self-driving vehicles and video recommendations for children, it is easy to see that the benefits and risks of each are very different. Their specificities will require different approaches to policy making and governance. To help policy makers, regulators, legislators and others characterise AI systems deployed in specific contexts, the OECD has developed a user-friendly tool to evaluate AI systems from a policy perspective. It can be applied to the widest range of AI systems across the following dimensions: People & Planet; Economic Context; Data & Input; AI model; and Task & Output. Each of the framework's dimensions has a subset of properties and attributes to define and assess policy implications and to guide an innovative and trustworthy approach to AI as outlined in the OECD AI Principles.

Industries and businesses are becoming increasingly digital, and the COVID-19 pandemic has further accelerated this trend. Regulators around the world are also experimenting with data-driven tools to apply and enforce rules in a more agile and targeted way. This report maps out several efforts undertaken jointly by the OECD and Italian regulators to develop and use artificial intelligence and machine learning tools in regulatory inspections and enforcement. It provides unique insights into the background processes and structures required for digital tools to perform predictive modelling, risk analysis and classification. It also highlights the challenges such tools bring, both in specific regulatory areas and to the broader goals of regulatory systems.

This paper addresses the current and emerging uses and impacts of robots, the mid-term future of robotics and the role of policy. Progress in robotics will help to make life easier, richer and healthier. Wider robot use will help raise labour productivity. As science and engineering progress, robots will become more central to crisis response, from helping combat infectious diseases to maintaining critical infrastructure. Governments can accelerate and orient the development and uptake of socially valuable robots, for instance by: supporting cross-disciplinary R&D, facilitating research commercialisation, helping small and medium-size enterprises (SMEs) understand the opportunities for investment in robots, supporting platforms that highlight robot solutions in healthcare and other sectors, embedding robotics engineering in high school curricula, tailoring training for workers with vocational-level mechanical skills, supporting data development useful to robotics, ensuring flexible regulation conducive to innovation, strengthening digital connectivity, and raising awareness of the importance of robotics.

As countries weather the COVID-19 health emergency, high-quality connectivity, more than ever, is essential to ensure that economic activities can continue in a remote manner. However, important disparities in terms of connectivity persist, aggravating the consequences of the health emergency. Therefore, policies aiming to reduce connectivity divides are of paramount importance. This report explores policies and regulations in OECD countries that have proven successful to work towards closing connectivity divides. It offers a roadmap to policy makers on the overarching policies and regulatory measures to expand connectivity, as well as the tailored approaches to extend broadband networks in rural and remote areas.