Automation and the Future of Work PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Automation and the Future of Work PDF full book. Access full book title Automation and the Future of Work by Aaron Benanav. Download full books in PDF and EPUB format.
Author: Aaron Benanav
Publisher: Verso Books
ISBN: 1839761326
Category : Social Science
Languages : en
Pages : 161
Get Book Here
Book Description
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.
Author: Aaron Benanav
Publisher: Verso Books
ISBN: 1839761326
Category : Social Science
Languages : en
Pages : 161
Get Book Here
Book Description
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.
Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
Get Book Here
Book Description
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.
Author: Peter G. Martin
Publisher: ISA
ISBN: 1936007061
Category : Technology & Engineering
Languages : en
Pages : 1
Get Book Here
Book Description
After a quick glance at the plant floor, it is very easy to see the industrial automation industry interoperates with other functions within the enterprise. Trying to keep up with changing technologies, however, is never easy and the industrial automation environment is no exception. Whether you are a student just starting out or are a top-level executive or manager well-versed in one domain, but have limited knowledge of the industrial automation industry, itA's easy to find yourself adrift in this evolving industry. That is where this easy-to-read book comes in; it provides a basic functional understanding in the field of industrial automation. In an effort to understand this industry, the authors break down the barriers and confusion surrounding the technical details and terminology used in this converging field. They provide an introductory-level approach, covering most of the major industrial automation topics, such as distributed control systems (DCSs), programmable logic controllers (PLCs), manufacturing execution systems (MESs), and so on. You may even learn a recipe or two. This book is ideal for executives, business managers, information technologists, accountants, maintenance professionals, operators, production planners, just to name a few, and provides an in-depth but easy overview for people new to the field who want to quickly educate themselves.
Author: John Danaher
Publisher: Harvard University Press
ISBN: 0674984242
Category : Philosophy
Languages : en
Pages : 337
Get Book Here
Book Description
Automating technologies threaten to usher in a workless future, but John Danaher argues that this can be a good thing. A world without work may be a kind of utopia, free of the misery of the job and full of opportunities for creativity and exploration. If we play our cards right, automation could be the path to idealized forms of human flourishing.
Author: Darrell M. West
Publisher: Brookings Institution Press
ISBN: 0815732945
Category : Education
Languages : en
Pages : 223
Get Book Here
Book Description
Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the "job" no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow—one that needs to take place today.
Author: PASCAL. BARKIN BORNET (IAN. WIRTZ, JOCHEN.)
Publisher:
ISBN: 9811235848
Category : Electronic books
Languages : en
Pages : 431
Get Book Here
Book Description
Author: Bhaskar Ghosh
Publisher: McGraw Hill Professional
ISBN: 1260473309
Category : Business & Economics
Languages : en
Pages : 289
Get Book Here
Book Description
From the global automation leaders at Accenture—the first-ever comprehensive blueprint for how to use and scale AI-powered intelligent automation in the enterprise to gain competitive advantage through faster speed to market, improved product quality, higher efficiency, and an elevated customer experience. Many companies were already implementing limited levels of automation when the pandemic hit. But the need to rapidly change business processes and how organizations work resulted in the compression of a decade’s worth of digital transformation into a matter of months. Technology suddenly became the essential element for rapid organizational change and the creation of 360-degree value benefiting all stakeholders. Businesses are faced with the imperative to embrace that change or risk being left behind. In The Automation Advantage, global enterprise technology and automation veterans Bhaskar Ghosh, Rajendra Prasad, and Gayathri Pallail give business leaders and managers the action plan they need to execute a strategic agenda that enables them to quickly and confidently scale their automation and AI initiatives. This practical and highly accessible implementation guide answers leaders’ burning questions, such as: How do I identify and prioritize automation opportunities? How do I assess my legacy systems and data issues? How do I derive full value out of my technology investments and automation efforts? How can I inspire my employees to embrace change and the new opportunities presented by automation? The Automation Advantage goes beyond optimizing process to using AI to transform almost any business activity in any industry to make it faster, more streamlined, cost efficient, and customer-focused—vastly improving overall productivity and performance. Featuring case studies of successful automation solutions, this indispensable road map includes guiding principles for technology, governance, culture, and leadership change. It offers a human-centric approach to AI and automation that leads to sustainable transformation and measurable business results.
Author: Michael Felderer
Publisher: Springer Nature
ISBN: 3030324893
Category : Computers
Languages : en
Pages : 525
Get Book Here
Book Description
This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the backbone of future research. Following an introductory chapter that outlines the background of and developments in empirical software engineering over the last 50 years and provides an overview of the subsequent contributions, the remainder of the book is divided into four parts: Study Strategies (including e.g. guidelines for surveys or design science); Data Collection, Production, and Analysis (highlighting approaches from e.g. data science, biometric measurement, and simulation-based studies); Knowledge Acquisition and Aggregation (highlighting literature research, threats to validity, and evidence aggregation); and Knowledge Transfer (discussing open science and knowledge transfer with industry). Empirical methods like experimentation have become a powerful means of advancing the field of software engineering by providing scientific evidence on software development, operation, and maintenance, but also by supporting practitioners in their decision-making and learning processes. Thus the book is equally suitable for academics aiming to expand the field and for industrial researchers and practitioners looking for novel ways to check the validity of their assumptions and experiences. Chapter 17 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: James Steinhoff
Publisher: Springer Nature
ISBN: 3030716899
Category : Political Science
Languages : en
Pages : 259
Get Book Here
Book Description
This book argues that Marxist theory is essential for understanding the contemporary industrialization of the form of artificial intelligence (AI) called machine learning. It includes a political economic history of AI, tracking how it went from a fringe research interest for a handful of scientists in the 1950s to a centerpiece of cybernetic capital fifty years later. It also includes a political economic study of the scale, scope and dynamics of the contemporary AI industry as well as a labour process analysis of commercial machine learning software production, based on interviews with workers and management in AI companies around the world, ranging from tiny startups to giant technology firms. On the basis of this study, Steinhoff develops a Marxist analysis to argue that the popular theory of immaterial labour, which holds that information technologies increase the autonomy of workers from capital, tending towards a post-capitalist economy, does not adequately describe the situation of high-tech digital labour today. In the AI industry, digital labour remains firmly under the control of capital. Steinhoff argues that theories discerning therein an emergent autonomy of labour are in fact witnessing labour’s increasing automation.
Author: Luke Munn
Publisher: Stanford University Press
ISBN: 1503631435
Category : Social Science
Languages : en
Pages : 201
Get Book Here
Book Description
For some, automation will usher in a labor-free utopia; for others, it signals a disastrous age-to-come. Yet whether seen as dream or nightmare, automation, argues Munn, is ultimately a fable that rests on a set of triple fictions. There is the myth of full autonomy, claiming that machines will take over production and supplant humans. But far from being self-acting, technical solutions are piecemeal; their support and maintenance reveals the immense human labor behind "autonomous" processes. There is the myth of universal automation, with technologies framed as a desituated force sweeping the globe. But this fiction ignores the social, cultural, and geographical forces that shape technologies at a local level. And, there is the myth of automating everyone, the generic figure of "the human" at the heart of automation claims. But labor is socially stratified and so automation's fallout will be highly uneven, falling heavier on some (immigrants, people of color, women) than others. Munn moves from machine minders in China to warehouse pickers in the United States to explore the ways that new technologies do (and don't) reconfigure labor. Combining this rich array of human stories with insights from media and cultural studies, Munn points to a more nuanced, localized, and racialized understanding of the "future of work."
