Political Economy Of Artificial Intelligence
Download Political Economy Of Artificial Intelligence full books in PDF, epub, and Kindle. Read online free Political Economy Of Artificial Intelligence ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Ajay Agrawal |
| Publisher | : University of Chicago Press |
| Total Pages | : 172 |
| Release | : 2024-03-05 |
| Genre | : Business & Economics |
| ISBN | : 0226833127 |
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 | : Tugrul Keskin |
| Publisher | : Palgrave Macmillan |
| Total Pages | : 258 |
| Release | : 2022-07-16 |
| Genre | : Political Science |
| ISBN | : 9783030744229 |
This volume seeks to leverage academic interdisciplinarity to develop insight into how Artificial intelligence (AI), the latest GPT to emerge, may influence or radically change socio-political norms, practices, and institutions. AI may best be understood as a predictive technology. “Prediction is the process of filling in missing information. Prediction takes information you have, often called ‘data’, and uses it to generate information you don’t have” (Agrawal, Gans, and Goldfarb 2018, 13; also see Mayer-Schonberger and Ramge 2018). AI makes prediction cheap because the cost of information is now close to zero. Cheap prediction through AI technologies are radically altering how we govern ourselves, interact with each other, and sustain society. Contributors to this volume represent the academic disciplines of Sociology and Political Science working within a diverse set of intra-disciplinary fields that when combined, yield novel insights into the following questions guiding this volume: How might AI transform people? How might AI transform socio-political practices? How might AI transform socio-political institutions?
| Author | : Shin-yi Peng |
| Publisher | : Cambridge University Press |
| Total Pages | : 365 |
| Release | : 2021-10-14 |
| Genre | : Law |
| ISBN | : 1108957153 |
Artificial intelligence (AI) technologies are transforming economies, societies, and geopolitics. Enabled by the exponential increase of data that is collected, transmitted, and processed transnationally, these changes have important implications for international economic law (IEL). This volume examines the dynamic interplay between AI and IEL by addressing an array of critical new questions, including: How to conceptualize, categorize, and analyze AI for purposes of IEL? How is AI affecting established concepts and rubrics of IEL? Is there a need to reconfigure IEL, and if so, how? Contributors also respond to other cross-cutting issues, including digital inequality, data protection, algorithms and ethics, the regulation of AI-use cases (autonomous vehicles), and systemic shifts in e-commerce (digital trade) and industrial production (fourth industrial revolution). This title is also available as Open Access on Cambridge Core.
| Author | : Ryan Kiggins |
| Publisher | : Springer |
| Total Pages | : 345 |
| Release | : 2017-09-16 |
| Genre | : Political Science |
| ISBN | : 3319514660 |
This collection examines implications of technological automation to global prosperity and peace. Focusing on robots, information communication technologies, and other automation technologies, it offers brief interventions that assess how automation may alter extant political, social, and economic institutions, norms, and practices that comprise the global political economy. In doing so, this collection deals directly with such issues as automated production, trade, war, state sanctioned robot violence, financial speculation, transnational crime, and policy decision making. This interdisciplinary volume will appeal to students, scholars and practitioners grappling with political, economic, and social problems that arise from rapid technological change that automates the prospects for human prosperity and peace.
| Author | : Maurizio Tinnirello |
| Publisher | : CRC Press |
| Total Pages | : 304 |
| Release | : 2022-04-24 |
| Genre | : Computers |
| ISBN | : 0429822561 |
Technologies such as artificial intelligence have led to significant advances in science and medicine, but have also facilitated new forms of repression, policing and surveillance. AI policy has become without doubt a significant issue of global politics. The Global Politics of Artificial Intelligence tackles some of the issues linked to AI development and use, contributing to a better understanding of the global politics of AI. This is an area where enormous work still needs to be done, and the contributors to this volume provide significant input into this field of study, to policy makers, academics, and society at large. Each of the chapters in this volume works as freestanding contribution, and provides an accessible account of a particular issue linked to AI from a political perspective. Contributors to the volume come from many different areas of expertise, and of the world, and range from emergent to established authors.
| Author | : James Steinhoff |
| Publisher | : Springer Nature |
| Total Pages | : 259 |
| Release | : 2021-06-21 |
| Genre | : Political Science |
| ISBN | : 3030716899 |
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 | : Jacob Parakilas |
| Publisher | : Chatham House (Formerly Riia) |
| Total Pages | : 60 |
| Release | : 2018 |
| Genre | : Political Science |
| ISBN | : 9781784132125 |
"The rise of AI must be better managed in the near term in order to mitigate longer term risks and to ensure that AI does not reinforce existing inequalities"--Publisher.
| Author | : Bhabani Shankar Nayak |
| Publisher | : Springer Nature |
| Total Pages | : 205 |
| Release | : |
| Genre | : |
| ISBN | : 3031623088 |
| Author | : Nick Dyer-Witheford |
| Publisher | : Pluto Press (UK) |
| Total Pages | : 0 |
| Release | : 2019 |
| Genre | : Artificial intelligence |
| ISBN | : 9780745338606 |
The past several years have brought staggering advances in the field of Artificial Intelligence. And Marxist analysis has to keep up: while machines were always central to Marxist analysis, modern AI is a new kind of machine that Marx could not have anticipated. Inhuman Power explores the relationship between Marxist theory and AI through three approaches, each using the lens of a different Marxist theoretical concept. While the idea of widespread AI tends to be celebrated as much as questioned, a deeper analysis of its reach and potential produces a more complex and disturbing picture than has been identified. Inhuman Power argues that on its current trajectory, AI is likely to render humanity obsolete and that the only way to prevent it is a communist revolution.
| Author | : Tugrul Keskin |
| Publisher | : Springer Nature |
| Total Pages | : 258 |
| Release | : 2021-07-01 |
| Genre | : Political Science |
| ISBN | : 3030744205 |
This volume seeks to leverage academic interdisciplinarity to develop insight into how Artificial intelligence (AI), the latest GPT to emerge, may influence or radically change socio-political norms, practices, and institutions. AI may best be understood as a predictive technology. “Prediction is the process of filling in missing information. Prediction takes information you have, often called ‘data’, and uses it to generate information you don’t have” (Agrawal, Gans, and Goldfarb 2018, 13; also see Mayer-Schonberger and Ramge 2018). AI makes prediction cheap because the cost of information is now close to zero. Cheap prediction through AI technologies are radically altering how we govern ourselves, interact with each other, and sustain society. Contributors to this volume represent the academic disciplines of Sociology and Political Science working within a diverse set of intra-disciplinary fields that when combined, yield novel insights into the following questions guiding this volume: How might AI transform people? How might AI transform socio-political practices? How might AI transform socio-political institutions?
