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2,884 result(s) for "Technological unemployment"
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Confronting Dystopia
InConfronting Dystopia, a distinguished group of scholars analyze the implications of the ongoing technological revolution for jobs, working conditions, and income. Focusing on the economic and political implications of AI, digital connectivity, and robotics for both the Global North and the Global South, they move beyond diagnostics to seek solutions that offer better lives for all. Their analyses of the challenges of technology are placed against the backdrop of three decades of rapid economic globalization. The two in tandem are producing the daunting challenges that analysts and policymakers must now confront. The conjuncture of recent advances in AI, machine learning, and robotization portends a vast displacement of human labor, argues the editor, Eva Paus. AsConfronting Dystopiashows, we are on the eve of-indeed we are already amid-a technological revolution that will impact profoundly the livelihoods of people everywhere in the world. Across a broad and deep set of topics, the contributors explore whether the need for labor will inexorably shrink in the coming decades, how pressure on employment will impact human well-being, and what new institutional arrangements-a new social contract, for example, will be needed to sustain livelihoods. They evaluate such proposals as a basic income, universal social services, and investments that address key global challenges and create new jobs. Contributors:Vandana Chandra, Mignon Duffy, Dieter Ernst, Vincent Ferraro, Martin Ford, Juliana Martinez Franzoni, Irmgard Nubler, Robert Pollin, David Rueda, Diego Sanchez-Ancochea, Guy Standing, Stefan Thewissen
Confronting dystopia : the new technological revolution and the future of work
\"Assesses economic and political impacts of the worldwide revolution in artificial intelligence, machine learning, and robotics and proposes policies to benefit jobs, working conditions, and incomes in the Global North and the Global South\"-- Provided by publisher.
Too Easy, Too Good, Too Late?
Plausibly, one important part of a good life is doing work that makes a contribution, or a positive difference to the world. In this paper, however, I explore contribution pessimism, the view that people will not always have adequate opportunities for making contributions. I distinguish between three interestingly different and at least initially plausible reasons why this view might be true: in slogan form, things might become too easy, they might become too good, or we might be too late. Now, one response to these problems might be to deliberately attempt to undo them. However, I claim that this solution is intuitively misguided, and argue that explaining this supports a holistic approach to the value of contributions. Finally, I argue that if contribution pessimism is correct, it could provide an explanation of some widely held intuitions about issues in population ethics, with implications about the practical issue of how much priority we should give to addressing risks of human extinction.
Automation and utopia : human flourishing in a world without work
Human obsolescence is imminent. The factories of the future will be dark, staffed by armies of tireless robots. The hospitals of the future will have fewer doctors, depending instead on cloud-based AI to diagnose patients and recommend treatments. The homes of the future will anticipate our wants and needs and provide all the entertainment, food, and distraction we could ever desire. To many, this is a depressing prognosis, an image of civilization replaced by its machines. But what if an automated future is something to be welcomed rather than feared? Work is a source of misery and oppression for most people, so shouldn't we do what we can to hasten its demise? Automation and Utopia makes the case for a world in which, free from need or want, we can spend our time inventing and playing games and exploring virtual realities that are more deeply engaging and absorbing than any we have experienced before, allowing us to achieve idealized forms of human flourishing. The idea that we should \"give up\" and retreat to the virtual may seem shocking, even distasteful. But John Danaher urges us to embrace the possibilities of this new existence. The rise of automating technologies presents a utopian moment for humankind, providing both the motive and the means to build a better future.-- Provided by publisher.
Confronting dystopia
In Confronting Dystopia, a distinguished group of scholars analyze the implications of the ongoing technological revolution for jobs, working conditions, and income. Focusing on the economic and political implications of AI, digital connectivity, and
Artificial intelligence and work: a critical review of recent research from the social sciences
This review seeks to present a comprehensive picture of recent discussions in the social sciences of the anticipated impact of AI on the world of work. Issues covered include: technological unemployment, algorithmic management, platform work and the politics of AI work. The review identifies the major disciplinary and methodological perspectives on AI’s impact on work, and the obstacles they face in making predictions. Two parameters influencing the development and deployment of AI in the economy are highlighted: the capitalist imperative and nationalistic pressures.
What is the Future of Work in the Generative AI Era? A Marxist and Ricardian Analysis
There is an increasing public discourse of automation for white-collar professional jobs due to improvements in artificial intelligence (AI) capacities, raising the question about the contours of the future of work. Marx and Ricardo’s framework of technological labour displacement helps us understand the future of work in the context of AI. Marx’s discussion in Capital and Ricardo’s discussion in Principles of Political Economy reveal the common thesis that technology-induced worker displacement and precariousness of employment relationships are built into the internal logic of the contemporary digital capitalist economy. There are three important differences in their theoretical framework: (1) Marx did not believe that high technological unemployment is possible within capitalism even with very advanced technologies such as AI, while Ricardo saw technological unemployment as a serious threat while he acknowledges countervailing employment-creating tendencies; (2) While Ricardo’s explanation for the falling rate of profit is limited to rising wages, Marx traces the profit decline to the rising organic composition of capital and automation itself; (3) For Marx, a desirable future of work is not found within a capitalist framework but in communism, while Ricardo sees no alternatives to capitalism.