Industries and businesses are becoming increasingly digital, and the COVID-19 pandemic has further accelerated this trend. 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.

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 ground-breaking book addresses the challenge of regulatory delivery, defined as the way that regulatory agencies operate in practice to achieve the intended outcomes of regulation. Regulatory reform is moving beyond the design of regulation to address what good regulatory delivery looks like. The challenge in practice is to operate a regulatory regime that is both appropriate and effective. Questions of how regulations are received and applied by those whose behaviour they seek to control, and the way they are enforced, are vital in securing desired regulatory outcomes. This book, written by and for practitioners of regulatory delivery, explains the Regulatory Delivery Model, developed by Graham Russell and his team at the UK Department for Business, Energy and Industrial Strategy. The model sets out a framework to steer improvements to regulatory delivery, comprising three prerequisites for regulatory agencies to be able to operate effectively (Governance Frameworks, Accountability and Culture) and three practices for regulatory agencies to be able to deliver societal outcomes (Outcome Measurement, Risk-based Prioritisation and Intervention Choices). These elements are explored by an international group of experts in regulatory delivery reform, with case studies from around the world. Regulatory Delivery is the first product of members of the International Network for Delivery of Regulation.

The pace and scope of emerging technologies are creating a sea change for governments and for regulators. This report brings together case studies submitted by members of the OECD Network of Economic Regulators that highlight how regulators have analysed and tackled these issues.

Government information websites are an important tool for governments seeking to improve communications, ease administrative burdens and provide greater access to public services for citizens and businesses. Effective information websites, centred on users’ needs, can ensure a trustworthy information exchange between citizens and the public administration.

The COVID-19 pandemic has highlighted the crucial role regulation plays in the economy and society, but has also exposed gaps in domestic and international rule-making that have cost lives and money. The 2021 Regulatory Policy Outlook, the third in the series, maps country efforts to improve regulatory quality in line with the 2012 OECD Recommendation on Regulatory Policy and Governance, and shares good regulatory practices that can help close the gaps.

This comprehensive Research Handbook investigates the success of EU law enforcement processes. Going beyond traditional analyses of administrations and courts in isolation, it focuses on the increased cooperation seen between national and EU authorities, and on the widening variety of means used to enhance compliance with EU norms.

How do we cooperate – in social, local, business, and state communities? This book proposes an Outcome-Based Cooperative Model, in which all stakeholders work together on the basis of trust and respect to achieve shared aims and outcomes. The Outcome-Based Cooperative Model is built up from an extensive analysis of behavioural and social psychology, genetic anthropology, research into behaviour and culture in societies, organisations, regulation, and enforcement. The starting point is acceptance that humanity is facing ever larger risks, which are now systemic and even existential. To overcome the challenges, humans need to cooperate more, rather than compete, alienate, or draw apart. Answering how we do that requires basing ourselves, our institutions, and systems on relationships that are built on trust. Trust is based on evidence that we can be trusted to behave well (ethically), built up over time. We should aim to agree common goals and outcomes, moderating those that conflict, produce evidence that we can be trusted, and examine our performance in achieving the right outcomes, rather than harmful ones. The implications are that we need to do more in rebasing our relationships in local groupings, business organisations, regulation, and dispute resolution. The book examines recent systems and developments in all these areas, and makes proposals of profound importance for reform. This is a new blueprint for liberty, solidarity, performance, and achievement.

With the advancement in processing power and storage now enabling algorithms to expand their capabilities beyond their initial narrow applications, technology is becoming increasingly powerful. This highly topical Handbook provides a comprehensive overview of the impact of Artificial Intelligence (AI) on work, assessing its impact on an array of economic sectors, their resulting nature of work, and the subsequent policy implications of these changes.

Research shows that companies that employ data-driven decision-making are more productive, have a higher market value, and deliver higher returns for their shareholders. In this book, the reader will discover the history, theory, and practice of data-driven decision-making, learning how organizations and individual managers alike can utilize its methods to avoid cognitive biases and improve confidence in their decisions. It argues that value does not come from data, but from acting on data. Throughout the book, the reader will examine how to convert data to value through data-driven decision-making, as well as how to create a strong foundation for such decision-making within organizations. Covering topics such as strategy, culture, analysis, and ethics, the text uses a collection of diverse and up-to-date case studies to convey insights which can be developed into future action. Simultaneously, the text works to bridge the gap between data specialists and businesspeople. Clear learning outcomes and chapter summaries ensure that key points are highlighted, enabling lecturers to easily align the text to their curriculums. Data-Driven Decision-Making for Business provides important reading for undergraduate and postgraduate students of business and data analytics programs, as well as wider MBA classes. Chapters can also be used on a standalone basis, turning the book into a key reference work for students graduating into practitioners. The book is supported by online resources, including PowerPoint slides for each chapter.