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| Author | : Algis Mickunas |
| Publisher | : Bentham Science Publishers |
| Total Pages | : 264 |
| Release | : 2023-02-22 |
| Genre | : Philosophy |
| ISBN | : 9815123416 |
Download A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation Book in PDF, ePub and Kindle
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.
| Author | : Algis Mickunas; Joseph |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023-02-22 |
| Genre | : |
| ISBN | : 9789815123425 |
Download A Critical Understanding of Artificial Intelligence Book in PDF, ePub and Kindle
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.
| Author | : David Kirsh |
| Publisher | : MIT Press |
| Total Pages | : 370 |
| Release | : 1992 |
| Genre | : Computers |
| ISBN | : 9780262610759 |
Download Foundations of Artificial Intelligence Book in PDF, ePub and Kindle
In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position.Have the classical methods and ideas of AI outlived their usefulness? Foundations of Artificial Intelligence critically evaluates the fundamental assumptions underpinning the dominant approaches to AI. In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position. They discuss the underlying principles, describe the natural types of problems and tasks in which their approach succeeds, explain where its power comes from, and what its scope and limits are. Theorists generally skeptical of these positions evaluate the effectiveness of the method or approach and explain why it works - to the extent they believe it does - and why it eventually fails.ContentsFoundations of AI: The Big Issues, D. Kirsh - Logic and Artificial Intelligence, N. J. Nilsson - Rigor Mortis: A Response to Nilsson's 'Logic and Artificial Intelligence, ' L. Birnbaum - Open Information Systems Semantics for Distributed Artificial Intelligence, C. Hewitt - Social Conceptions of Knowledge and Action: DAI Foundations and Open Systems Semantics, L. Gasser - Intelligence without Representation, R. A. Brooks - Today the Earwig, Tomorrow Man? D. Kirsh - On the Thresholds of Knowledge, D. B. Lenat, E. A. Feigenbaum - The Owl and the Electric Encyclopedia, B. C. Smith - A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence, P. S. Rosenbloom, J. E. Laird, A. Newell, R. McCarl - Approaches to the Study of Intelligence, D. A. Norman
| Author | : Pei Wang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 332 |
| Release | : 2012-08-31 |
| Genre | : Computers |
| ISBN | : 9491216627 |
Download Theoretical Foundations of Artificial General Intelligence Book in PDF, ePub and Kindle
This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field. Each chapter focuses on one theoretical problem, proposes a novel solution, and is written in sufficiently non-technical language to be understandable by advanced undergraduates or scientists in allied fields. This book is the very first collection in the field of Artificial General Intelligence (AGI) focusing on theoretical, conceptual, and philosophical issues in the creation of thinking machines. All the authors are researchers actively developing AGI projects, thus distinguishing the book from much of the theoretical cognitive science and AI literature, which is generally quite divorced from practical AGI system building issues. And the discussions are presented in a way that makes the problems and proposed solutions understandable to a wide readership of non-specialists, providing a distinction from the journal and conference-proceedings literature. The book will benefit AGI researchers and students by giving them a solid orientation in the conceptual foundations of the field (which is not currently available anywhere); and it would benefit researchers in allied fields by giving them a high-level view of the current state of thinking in the AGI field. Furthermore, by addressing key topics in the field in a coherent way, the collection as a whole may play an important role in guiding future research in both theoretical and practical AGI, and in linking AGI research with work in allied disciplines
| Author | : Derek Partridge |
| Publisher | : Cambridge University Press |
| Total Pages | : 516 |
| Release | : 1990-04-26 |
| Genre | : Computers |
| ISBN | : 9780521359443 |
Download The Foundations of Artificial Intelligence Book in PDF, ePub and Kindle
This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.
| Author | : Ronald Chrisley |
| Publisher | : Taylor & Francis |
| Total Pages | : 464 |
| Release | : 2000 |
| Genre | : Computers |
| ISBN | : 9780415193351 |
Download Artificial Intelligence Book in PDF, ePub and Kindle
| Author | : Simon Lindgren |
| Publisher | : John Wiley & Sons |
| Total Pages | : 136 |
| Release | : 2023-10-17 |
| Genre | : Computers |
| ISBN | : 1509555781 |
Download Critical Theory of AI Book in PDF, ePub and Kindle
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.
| Author | : Virginia Dignum |
| Publisher | : Springer Nature |
| Total Pages | : 127 |
| Release | : 2019-11-04 |
| Genre | : Computers |
| ISBN | : 3030303713 |
Download Responsible Artificial Intelligence Book in PDF, ePub and Kindle
In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.
| Author | : Rajakishore Nath |
| Publisher | : Universal-Publishers |
| Total Pages | : 190 |
| Release | : 2009 |
| Genre | : Computers |
| ISBN | : 1599429055 |
Download Philosophy of Artificial Intelligence Book in PDF, ePub and Kindle
This book deals with the major philosophical issues in the theoretical framework of Artificial Intelligence (AI) in particular and cognitive science in general. The researchers in AI are concerned with the issues of consciousness, human subjectivity, creativity, etc. Cognitive Science and AI argue that consciousness can be artificially created and comprehended in the function of robots. The robotic activities explain the mechanism involved in computation, language processing, sensing the information, etc. Contrary to this thesis, the philosophical study tries to show that human consciousness, thinking, imagination, etc. are much larger concepts and need to be delved into in the broad theoretical framework. This book is a critique of the mechanistic theory of mind. It shows the basic foundation of AI and its limitations in explaining the activities of the human mental life. Machine-functionalism fails to account for the subjective nature of consciousness and the creativity involved in the conscious acts. There are two aspects of this thesis-- the epistemological and the metaphysical. Epistemologically, the subject of consciousness intimately knows the raw feelings or the qualia. Metaphysically speaking, however, the raw feelings are real in the sense that they are part of the furniture of the mental world. Therefore, we can hardly deny that the mental world is real.
| Author | : Janet Finlay |
| Publisher | : CRC Press |
| Total Pages | : 290 |
| Release | : 1996-06-27 |
| Genre | : Computers |
| ISBN | : 9781857283990 |
Download An Introduction To Artificial Intelligence Book in PDF, ePub and Kindle
An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of artificial intelligence, it examines the central computational techniques employed by AI, including knowledge representation, search, reasoning, and learning, as well as the principal application domains of expert systems, natural language, vision, robotics, software agents and cognitive modeling. Many of the major philosophical and ethical issues of AI are also introduced. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. The authors bring this exciting field to life by presenting a substantial and robust introduction to artificial intelligence in a clear and concise coursebook form. This book stands as a core text for all computer scientists approaching AI for the first time.
