"This book confronts the hotly-debated prospect of mounting job losses from automation, and the divergent hopes and fears that prospect evokes, and proposes a strategy for mitigating the losses and spreading the gains from shrinking demand for human labor. Leading economists have concluded that automation is already exacerbating inequality by destroying more decent middle-skill jobs than it is creating. As ongoing innovations in artificial intelligence, machine learning, and robotics continue to chip away at the comparative advantages of human labor in a range of work tasks, those innovations are likely to yield growing job losses in the foreseeable future. Faced with this prospect, the book argues that we should set our collective sights on ensuring broad access to adequate incomes, more free time, and decent remunerative work even in a world with less of it. That will require not a single "magic bullet" solution like universal basic income or a federal job guarantee, but rather a multifaceted strategy centered on conserving, creating, and spreading work. The book elaborates that strategy in the U.S. context, but much of it is broadly relevant to other advanced economies. And while the proposed strategy is designed to address a foreseeable future of job scarcity, it will also help to rebalance lives already plagued by either too much work or not enough and to counter both economic inequality and racial stratification. The proposed strategy makes sense here and now, and especially as we face up to a future of less work"--

Are super-capable robots and algorithms destined to devour our jobs and idle much of the adult population? Predictions of a jobless future have recurred in waves since the advent of industrialization, only to crest and retreat as new jobs-usually better ones-have replaced those lost to machines. But there's good reason to believe that this time is different. Ongoing innovations in artificial intelligence, machine learning, and robotics are already destroying more decent middle-skill jobs than they are creating, and may be leading to a future of growing job scarcity. But there are many possible versions of that future, ranging from utterly dystopian to humane and broadly appealing. It all depends on how we respond. This book confronts the hotly-debated prospect of mounting job losses due to automation, and the widely-divergent hopes and fears that prospect evokes, and proposes a strategy for both mitigating the losses and spreading the gains from shrinking demand for human labor. We should set our collective sights, it argues, on ensuring access to adequate incomes, more free time, and decent remunerative work even in a future with less of it. Getting there will require not a single "magic bullet" solution like universal basic income or a federal job guarantee but a multi-pronged program centered on conserving, creating, and spreading work. What the book proposes for a foreseeable future of less work will simultaneously help to address growing economic inequality and persistent racial stratification, and makes sense here and now but especially as we face the prospect of net job losses.

From the Industrial Revolution to the age of artificial intelligence, Carl Benedikt Frey offers a sweeping account of the history of technological progress and how it has radically shifted the distribution of economic and political power among society's members. As the author shows, the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating for large swaths of the population.These trends broadly mirror those in our current age of automation. But, just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. Benedikt Frey demonstrates that in the midst of another technological revolution, the lessons of the past can help us to more effectively face the present. --From publisher description.

"As experts in treating anxiety disorders, Wehrenberg (a psychotherapist in private practice, Naperville, Illinois) and Prinz (psychiatrist, Linden Oaks Hospital, Naperville) discuss generalized, panic, and other anxiety disorders and the implications of recent brain research for treating them by integrating pharmacological and psychotherapeutic approaches. They note that clients' Internet-obtained information about their condition has both positive and negative aspects. The book includes charts summarizing etiologies, symptoms, cognitive errors, and medications; relaxation and worry management techniques; clinical pearls of wisdom; and suggested reading." -- Publisher's description.

An essential guide to the future of work in Australia. For many Australians, rapid progress in artificial intelligence, robotics and automation is a growing anxiety. What will it mean for jobs? What will it mean for their kids’ futures? More broadly, what will it mean for equality in this country? Jim Chalmers and Mike Quigley believe that bursts in technology need not result in bursts of inequality, that we can combine technological change with the fair go. But first we need to understand what’s happening to work, and what’s likely to happen. This is a timely, informative and authoritative book about the changing face of work, and how best to approach it – at both a personal and a political level. Jim Chalmers is a Labor MP and Shadow Minister for Finance. Before being elected to parliament, Jim was the chief of staff to the Deputy Prime Minister and Treasurer. He has a PhD in political science and international relations and is the author of Glory Daze (2013). Mike Quigley spent 36 years with the major global telecommunications company Alcatel, including three years as its president and COO. He was the first employee of the Australian NBN company and its CEO for four years. He is now adjunct professor in the School of Computing and Communications at UTS.

A consensus-shattering account of automation technologies and their effect on workplaces and the labor market In this consensus-shattering account of automation technologies, Aaron Benanav investigates the economic trends that will shape our working lives far into the future. Silicon Valley titans, politicians, techno-futurists, and social critics have united in arguing that we are on the cusp of an era of rapid technological automation, heralding the end of work as we know it. But does the muchdiscussed “rise of the robots” really explain the long-term decline in the demand for labor? Automation and the Future of Work uncovers the deep weaknesses of twenty-first-century capitalism and the reasons why the engine of economic growth keeps stalling. Equally important, Benanav goes on to salvage from automation discourse its utopian content: the positive vision of a world without work. What social movements, he asks, are required to propel us into post-scarcity if technological innovation alone can’t deliver it? In response to calls for a permanent universal basic income that would maintain a growing army of redundant workers, he offers a groundbreaking counterproposal.

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.