This pioneering Research Handbook on Public Management and Artificial Intelligence provides a comprehensive overview of the potentials, challenges, and governance principles of AI in a public management context. Multidisciplinary in approach, it draws on a variety of jurisdictional perspectives and expertly analyses key topics relating to this socio-technical phenomenon.

E-government is an increasingly well-established and wide-ranging field, in which there has been an explosion of new technologies, applications, and data resulting in new challenges and opportunities for e-government research and practice. This Research Handbook advances research in the field of e-government by first recognizing its roots and documenting its growth and progress. It investigates the advent and implications of new technologies, and structures the content around core topics of service, management, engagement and access. Two additional sections examine the role of e-government in developing countries and smart cities.

This Handbook comprehensively explores research methods in public administration, management and policy. Exploring the richness of both traditional and contemporary methods and strategies for making progress in the field, it provides an advanced toolkit for understanding the science of public administration and management in the 21st century.

The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.

This timely Handbook explores the relationship between public policy and artificial intelligence (AI) technologies across a broad range of geographical, technical, political and policy contexts. It contributes to critical AI studies, focusing on the intersection of the norms, discourses, policies, practices, and regulation that shape AI in the public sector. Expert authors in the field discuss the creation and use of AI technologies and how public authorities respond to their development, by bringing together emerging scholarly debates about AI technologies with longer-standing insights on public administration, policy, regulation and governance. Contributions in the Handbook mobilise diverse perspectives to critically examine techno-solutionist approaches to public policy and AI, dissect the politico-economic interests underlying AI promotion, and analyse implications for sustainable development, fairness, and equality. Ultimately, this Handbook questions whether regulatory concepts such as ethical, trustworthy, or accountable AI safeguard a democratic future or contribute to a problematic de-politicisation of the public sector. The Handbook on Public Policy and Artificial Intelligence is a crucial resource for students and scholars of public policy and administration, political economy, political science, sociology, law, regulation and governance, computer science and technology studies. It is also beneficial to policy practitioners, civil society actors, and regulators working with AI technologies.

In today’s global culture where the internet has established itself as a main tool of communication, the global system of economy and regulations, as well as data and decisions based on data analysis, have become essential for public actors and institutions. Governments need to be updated and use the latest technologies to understand what society’s demands are, and user behavioral data, which can be pulled by intelligent applications, can offer tremendous insights into this. The Handbook of Research on Artificial Intelligence in Government Practices and Processes identifies definitional perspectives of behavioral data science and what its use by governments means for automation, predictability, and risks to privacy and free decision making in society. Many governments can train their algorithms to work with machine learning, leading to the capacity to interfere in the behavior of society and potentially achieve a change in societal behavior without society itself even being aware of it. As such, the use of artificial intelligence by governments has raised concerns about privacy and personal security issues. Covering topics such as digital democracy, data extraction techniques, and political communications, this book is an essential resource for data analysts, politicians, journalists, public figures, executives, researchers, data specialists, communication specialists, digital marketers, and academicians.

Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.