The increasing use of artificial intelligence within the workplace is likely to cause significant disruption to the labour market and in turn, to the economy, due to a reduction in the number of taxable workers. In this innovative book, Xavier Oberson proposes taxing robots as a possible solution to the anticipated problem of declining tax revenues.

""The increasing use of artificial intelligence within the workplace is likely to cause significant disruption to the labour market and in turn, to the economy, due to a reduction in the number of taxable workers. In this innovative book, Xavier Oberson proposes taxing robots as a possible solution to the anticipated problem of declining tax revenues. In accordance with guiding legal and economic principles, the book explores the various tax models that could be applied to both the use of robots, such as a usage or automation tax, and to robots directly. Numerous associated issues are discussed, such as the definition of robots for tax purposes, the difficulty of granting a tax capacity to robots, as well as the compatibility of robot taxes with international tax rules. The author concludes by putting forward a possible system for the taxation of robots, taking all of these issues into consideration. Being the first work of its kind to explore the potential for taxing robots in detail, this book will be a unique resource for researchers in the fields of law and economics who have an interest in the impact of artificial intelligence. Lawyers and tax professionals can also benefit from Oberson's insights on what future models of taxation may look like and what the legal consequences may be"-- Page four of cover.

Argues that treating people and artificial intelligence differently under the law results in unexpected and harmful outcomes for social welfare.

Taxing Artificial Intelligence will be essential reading for scholars, policy makers and students across law and economics. It will also be invaluable for law and tax professionals seeking to understand the latest developments in AI, automation, and the future of work.

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

This book contains contributions from the IX International Scientific Conference “Digital Transformation of the Economy: Challenges, Trends and New Opportunities,” which was organized by Samara State University of Economics (SSEU, Samara, Russia), 2021, and devoted to the 90th anniversary of this higher education institution. Digital technologies became even more in demand during the pandemic, when companies, state authorities, and educational organizations were forced to switch to a remote format of work. The “forced” digitization of the usual ways of activity required rapid and decisive changes. Understanding the ongoing digital transformation implies the relevance of further in-depth research of this issue in the context of various socioeconomic systems, interdisciplinary interactions, and cooperation between scientists and practitioners. The book is an attempt to analyze these changes and consider them from the point of view of various scientific areas (economics, management, education, law, sociology, and others). This book addresses theoretical and practical aspects by studying the digital technology application in terms of the new socioeconomic reality development: big data in the digital economy, data collection and exchange, artificial intelligence, intelligent communications, digital platforms and strategies for the sustainable development of socioeconomic systems, and new requirements of professional and business education. It provides significant value for scientists, teachers, and students of higher educational institutions.

Taxation has been seen as the domain of charisma-free accountants, lawyers and number crunchers – an unlikely place to encounter big societal questions about democracy, equity or good governance. Yet it is exactly these issues that pervade conversations about taxation among policymakers, tax collectors, civil society activists, journalists and foreign aid donors in Africa today. Tax has become viewed as central to African development. Written by leading international experts, Taxing Africa offers a cutting-edge analysis on all aspects of the continent's tax regime, displaying the crucial role such arrangements have on attempts to create social justice and push economic advancement. From tax evasion by multinational corporations and African elites to how ordinary people navigate complex webs of 'informal' local taxation, the book examines the potential for reform, and how space might be created for enabling locally-led strategies.