A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation

A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation

Author: Algis Mickunas

Publisher: Bentham Science Publishers

Published: 2023-02-22

Total Pages: 264

ISBN-13: 9815123416

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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.


Book Synopsis A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation by : Algis Mickunas

Download or read book A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation written by Algis Mickunas and published by Bentham Science Publishers. This book was released on 2023-02-22 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Critical Understanding of Artificial Intelligence

A Critical Understanding of Artificial Intelligence

Author: Algis Mickunas; Joseph

Publisher:

Published: 2023-02-22

Total Pages: 0

ISBN-13: 9789815123425

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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.


Book Synopsis A Critical Understanding of Artificial Intelligence by : Algis Mickunas; Joseph

Download or read book A Critical Understanding of Artificial Intelligence written by Algis Mickunas; Joseph and published by . This book was released on 2023-02-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Foundations of Artificial Intelligence

Foundations of Artificial Intelligence

Author: David Kirsh

Publisher: MIT Press

Published: 1992

Total Pages: 370

ISBN-13: 9780262610759

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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


Book Synopsis Foundations of Artificial Intelligence by : David Kirsh

Download or read book Foundations of Artificial Intelligence written by David Kirsh and published by MIT Press. This book was released on 1992 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Theoretical Foundations of Artificial General Intelligence

Theoretical Foundations of Artificial General Intelligence

Author: Pei Wang

Publisher: Springer Science & Business Media

Published: 2012-08-31

Total Pages: 334

ISBN-13: 9491216627

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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


Book Synopsis Theoretical Foundations of Artificial General Intelligence by : Pei Wang

Download or read book Theoretical Foundations of Artificial General Intelligence written by Pei Wang and published by Springer Science & Business Media. This book was released on 2012-08-31 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

The Foundations of Artificial Intelligence

The Foundations of Artificial Intelligence

Author: Derek Partridge

Publisher: Cambridge University Press

Published: 1990-04-26

Total Pages: 516

ISBN-13: 9780521359443

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This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.


Book Synopsis The Foundations of Artificial Intelligence by : Derek Partridge

Download or read book The Foundations of Artificial Intelligence written by Derek Partridge and published by Cambridge University Press. This book was released on 1990-04-26 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.

Artificial Intelligence

Artificial Intelligence

Author: Ronald Chrisley

Publisher: Taylor & Francis

Published: 2000

Total Pages: 464

ISBN-13: 9780415193351

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Book Synopsis Artificial Intelligence by : Ronald Chrisley

Download or read book Artificial Intelligence written by Ronald Chrisley and published by Taylor & Francis. This book was released on 2000 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Responsible Artificial Intelligence

Responsible Artificial Intelligence

Author: Virginia Dignum

Publisher: Springer Nature

Published: 2019-11-04

Total Pages: 127

ISBN-13: 3030303713

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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.


Book Synopsis Responsible Artificial Intelligence by : Virginia Dignum

Download or read book Responsible Artificial Intelligence written by Virginia Dignum and published by Springer Nature. This book was released on 2019-11-04 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction To Artificial Intelligence

An Introduction To Artificial Intelligence

Author: Janet Finlay

Publisher: CRC Press

Published: 1996-06-27

Total Pages: 290

ISBN-13: 9781857283990

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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.


Book Synopsis An Introduction To Artificial Intelligence by : Janet Finlay

Download or read book An Introduction To Artificial Intelligence written by Janet Finlay and published by CRC Press. This book was released on 1996-06-27 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Philosophy of Artificial Intelligence

Philosophy of Artificial Intelligence

Author: Rajakishore Nath

Publisher: Universal-Publishers

Published: 2009

Total Pages: 190

ISBN-13: 1599429055

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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.


Book Synopsis Philosophy of Artificial Intelligence by : Rajakishore Nath

Download or read book Philosophy of Artificial Intelligence written by Rajakishore Nath and published by Universal-Publishers. This book was released on 2009 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Making AI Intelligible

Making AI Intelligible

Author: Herman Cappelen

Publisher: Oxford University Press

Published: 2021

Total Pages: 184

ISBN-13: 0192894722

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Can humans and artificial intelligences share concepts and communicate? One aim of Making AI Intelligible is to show that philosophical work on the metaphysics of meaning can help answer these questions. Cappelen and Dever use the externalist tradition in philosophy of to create models of how AIs and humans can understand each other. In doing so, they also show ways in which that philosophical tradition can be improved: our linguistic encounters with AIs revel that our theories of meaning have been excessively anthropocentric. The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. Many important decisions about human life are now influenced by AI. In giving that power to AI, we presuppose that AIs can track features of the world that we care about (e.g. creditworthiness, recidivism, cancer, and combatants.) If AIs can share our concepts, that will go some way towards justifying this reliance on AI. The book can be read as a proposal for how to take some first steps towards achieving interpretable AI. Making AI Intelligible is of interest to both philosophers of language and anyone who follows current events or interacts with AI systems. It illustrates how philosophy can help us understand and improve our interactions with AI.


Book Synopsis Making AI Intelligible by : Herman Cappelen

Download or read book Making AI Intelligible written by Herman Cappelen and published by Oxford University Press. This book was released on 2021 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can humans and artificial intelligences share concepts and communicate? One aim of Making AI Intelligible is to show that philosophical work on the metaphysics of meaning can help answer these questions. Cappelen and Dever use the externalist tradition in philosophy of to create models of how AIs and humans can understand each other. In doing so, they also show ways in which that philosophical tradition can be improved: our linguistic encounters with AIs revel that our theories of meaning have been excessively anthropocentric. The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. Many important decisions about human life are now influenced by AI. In giving that power to AI, we presuppose that AIs can track features of the world that we care about (e.g. creditworthiness, recidivism, cancer, and combatants.) If AIs can share our concepts, that will go some way towards justifying this reliance on AI. The book can be read as a proposal for how to take some first steps towards achieving interpretable AI. Making AI Intelligible is of interest to both philosophers of language and anyone who follows current events or interacts with AI systems. It illustrates how philosophy can help us understand and improve our interactions with AI.