Critical Theory of AI

Critical Theory of AI PDF Author: Simon Lindgren
Publisher: John Wiley & Sons
ISBN: 1509555781
Category : Computers
Languages : en
Pages : 136

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Book Description
We live in an age of artificial intelligence. Machines think and act in ever more complex ways, making suggestions and decisions on our behalf. While AI might be seen as practical and profitable, issues of data surveillance, algorithmic control, and sexist and racist bias persist. In this rapidly changing landscape, social analysis of AI risks getting scaled down to issues of ‘ethics’, ‘responsibility’, and ‘fairness’. While these are important issues, they must be addressed not from an ‘AI first’ perspective, but more thoroughly in terms of power and contention. Approaching artificial intelligence from the often overlooked perspective of critical social theory, this book provides a much-needed intervention on how both old and new theories conceptualize the social consequences of AI. Questions are posed about the ideologies driving AI, the mythologies surrounding AI, and the complex relationship between AI and power. Simon Lindgren provides a way of defining AI as an object of social and political critique, and guides the reader through a set of contentious areas where AI and politics intersect. In relation to these topics, critical theories are drawn upon, both as an argument for and an illustration of how AI can be critiqued. Given the opportunities and challenges of AI, this book is a must-read for students and scholars in the humanities, social sciences, and STEM disciplines.

Critical Theory of AI

Critical Theory of AI PDF Author: Simon Lindgren
Publisher: John Wiley & Sons
ISBN: 1509555781
Category : Computers
Languages : en
Pages : 136

Get Book

Book Description
We live in an age of artificial intelligence. Machines think and act in ever more complex ways, making suggestions and decisions on our behalf. While AI might be seen as practical and profitable, issues of data surveillance, algorithmic control, and sexist and racist bias persist. In this rapidly changing landscape, social analysis of AI risks getting scaled down to issues of ‘ethics’, ‘responsibility’, and ‘fairness’. While these are important issues, they must be addressed not from an ‘AI first’ perspective, but more thoroughly in terms of power and contention. Approaching artificial intelligence from the often overlooked perspective of critical social theory, this book provides a much-needed intervention on how both old and new theories conceptualize the social consequences of AI. Questions are posed about the ideologies driving AI, the mythologies surrounding AI, and the complex relationship between AI and power. Simon Lindgren provides a way of defining AI as an object of social and political critique, and guides the reader through a set of contentious areas where AI and politics intersect. In relation to these topics, critical theories are drawn upon, both as an argument for and an illustration of how AI can be critiqued. Given the opportunities and challenges of AI, this book is a must-read for students and scholars in the humanities, social sciences, and STEM disciplines.

Handbook of Critical Studies of Artificial Intelligence

Handbook of Critical Studies of Artificial Intelligence PDF Author: Simon Lindgren
Publisher: Edward Elgar Publishing
ISBN: 1803928565
Category : Computers
Languages : en
Pages : 941

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Book Description
As artificial intelligence (AI) continues to seep into more areas of society and culture, critical social perspectives on its technologies are more urgent than ever before. Bringing together state-of-the-art research from experienced scholars across disciplines, this Handbook provides a comprehensive overview of the current state of critical AI studies.

A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation

A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation PDF Author: Algis Mickunas
Publisher: Bentham Science Publishers
ISBN: 9815123416
Category : Philosophy
Languages : en
Pages : 264

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Book Description
Artificial intelligence (AI) is viewed as one of the technological advances that will reshape modern societies and their relations. While the design and deployment of systems that continually adapt hold the promise of far-reaching, positive change, they simultaneously pose significant risks, especially to already vulnerable people. This work explores the meaning of AI, and the important role of critical understanding and its phenomenological foundation in shaping its ongoing advances. The values, power, and magic of reason are central to this discussion. Critical theory has used historical hindsight to explain the patterns of power that shape our intellectual, political, economic, and social worlds, and the discourse on AI that surrounds these worlds. The authors also delve into niche topics in philosophy such as transcendental self-awareness, post-humanism, and concepts of space-time and computer logic. By embedding a critical phenomenological orientation within their technical practices, AI communities can develop foresight and tactics that can better align research and technology development with established ethical principles — centering vulnerable people who continue to bear the brunt of the negative impacts of innovation and scientific progress. The creation of a critical–technical practice of AI will lead to a permanent revolution in social, scientific, and political communities. The years ahead will usher in a wave of new scientific breakthroughs and technologies driven by AI research, making it incumbent upon AI communities to strengthen the social contract through ethical foresight, a capability which only phenomenology can deliver, ultimately supporting future technologies that enable greater well-being, with the goal of delivering practical truths. A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation is an essential read for anyone interested in the complex debate and phenomenology surrounding AI and its growing role in our society.

Critical Theory

Critical Theory PDF Author: Stephen Eric Bronner
Publisher: Oxford University Press
ISBN: 0190692677
Category : Philosophy
Languages : en
Pages : 161

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Book Description
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AI for Everyone?

AI for Everyone? PDF Author: Pieter Verdegem
Publisher: University of Westminster Press
ISBN: 1914386132
Category : Computers
Languages : en
Pages : 310

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Book Description
We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times.

A Critical Understanding of Artificial Intelligence

A Critical Understanding of Artificial Intelligence PDF Author: Algis Mickunas; Joseph
Publisher:
ISBN: 9789815123425
Category :
Languages : en
Pages : 0

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Book Description
Artificial intelligence (AI) is viewed as one of the technological advances that will reshape modern societies and their relations. While the design and deployment of systems that continually adapt hold the promise of far-reaching, positive change, they simultaneously pose significant risks, especially to already vulnerable people. This work explores the meaning of AI, and the important role of critical understanding and its phenomenological foundation in shaping its ongoing advances. The values, power, and magic of reason are central to this discussion. Critical theory has used historical hindsight to explain the patterns of power that shape our intellectual, political, economic, and social worlds, and the discourse on AI that surrounds these worlds. The authors also delve into niche topics in philosophy such as transcendental self-awareness, post-humanism, and concepts of space-time and computer logic. By embedding a critical phenomenological orientation within their technical practices, AI communities can develop foresight and tactics that can better align research and technology development with established ethical principles -- centering vulnerable people who continue to bear the brunt of the negative impacts of innovation and scientific progress. The creation of a critical-technical practice of AI will lead to a permanent revolution in social, scientific, and political communities. The years ahead will usher in a wave of new scientific breakthroughs and technologies driven by AI research, making it incumbent upon AI communities to strengthen the social contract through ethical foresight, a capability which only phenomenology can deliver, ultimately supporting future technologies that enable greater well-being, with the goal of delivering practical truths. A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation is an essential read for anyone interested in the complex debate and phenomenology surrounding AI and its growing role in our society.

The Myth of Artificial Intelligence

The Myth of Artificial Intelligence PDF Author: Erik J. Larson
Publisher: Harvard University Press
ISBN: 0674983513
Category : Computers
Languages : en
Pages : 321

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Book Description
“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.

The Machine Question

The Machine Question PDF Author: David J. Gunkel
Publisher: MIT Press
ISBN: 0262534630
Category : Philosophy
Languages : en
Pages : 271

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Book Description
An investigation into the assignment of moral responsibilities and rights to intelligent and autonomous machines of our own making. One of the enduring concerns of moral philosophy is deciding who or what is deserving of ethical consideration. Much recent attention has been devoted to the "animal question"—consideration of the moral status of nonhuman animals. In this book, David Gunkel takes up the "machine question": whether and to what extent intelligent and autonomous machines of our own making can be considered to have legitimate moral responsibilities and any legitimate claim to moral consideration. The machine question poses a fundamental challenge to moral thinking, questioning the traditional philosophical conceptualization of technology as a tool or instrument to be used by human agents. Gunkel begins by addressing the question of machine moral agency: whether a machine might be considered a legitimate moral agent that could be held responsible for decisions and actions. He then approaches the machine question from the other side, considering whether a machine might be a moral patient due legitimate moral consideration. Finally, Gunkel considers some recent innovations in moral philosophy and critical theory that complicate the machine question, deconstructing the binary agent–patient opposition itself. Technological advances may prompt us to wonder if the science fiction of computers and robots whose actions affect their human companions (think of HAL in 2001: A Space Odyssey) could become science fact. Gunkel's argument promises to influence future considerations of ethics, ourselves, and the other entities who inhabit this world.

The Psychoanalysis of Artificial Intelligence

The Psychoanalysis of Artificial Intelligence PDF Author: Isabel Millar
Publisher: Springer Nature
ISBN: 3030679810
Category : Psychology
Languages : en
Pages : 220

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Book Description
This book examines the crucial role of psychoanalysis in understanding what AI means for us as speaking, sexed subjects. Drawing on Lacanian theory and recent clinical developments it explores what philosophy and critical theory of AI has hitherto neglected: enjoyment. Through the reconceptualization of Intelligence, the Artificial Object and the Sexual Abyss the book outlines the Sexbot as a figure who exists on the boundary of psychoanalysis and AI. Through this figure and the medium of film, the author subverts Kant’s three Enlightenment questions and guides readers to transition from asking 'Does it think?' to 'Can it enjoy?' The book will appeal in particular to students and scholars of psychoanalysis, philosophy, film and media studies, critical theory, feminist theory and AI research.

AI Ethics

AI Ethics PDF Author: Mark Coeckelbergh
Publisher: MIT Press
ISBN: 0262538199
Category : Computers
Languages : en
Pages : 250

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Book Description
This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions—offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.