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If the intelligence of artificial systems were to surpass that of
humans, humanity would face significant risks. The time has come to
consider these issues, and this consideration must include progress
in artificial intelligence (AI) as much as insights from AI theory.
Featuring contributions from leading experts and thinkers in
artificial intelligence, Risks of Artificial Intelligence is the
first volume of collected chapters dedicated to examining the risks
of AI. The book evaluates predictions of the future of AI, proposes
ways to ensure that AI systems will be beneficial to humans, and
then critically evaluates such proposals. The book covers the
latest research on the risks and future impacts of AI. It starts
with an introduction to the problem of risk and the future of
artificial intelligence, followed by a discussion
(Armstrong/Sokala/OhEigeartaigh) on how predictions of its future
have fared to date. Omohundro makes the point that even an
innocuous artificial agent can easily turn into a serious threat
for humans. T. Goertzel explains how to succeed in the design of
artificial agents. But will these be a threat for humanity, or a
useful tool? Ways to assure beneficial outcomes through 'machine
ethics' and 'utility functions' are discussed by Brundage and
Yampolskiy. B. Goertzel and Potapov/Rodionov propose 'learning' and
'empathy' as paths towards safer AI while Kornai explains how the
impact of AI may be bounded. Sandberg explains the implications of
human-like AI via the technique of brain emulation. Dewey discusses
strategies to deal with the 'fast takeoff' of artificial
intelligence and, finally, Bishop explains why there is no need to
worry because computers will remain in a state of 'artificial
stupidity'. Sharing insights from leading thinkers in artificial
intelligence, this book provides you with an expert-level
perspective of what is on the horizon for AI, whether it will be a
threat for humanity, and how we might counteract this threat.
This book reports on the results of the third edition of the
premier conference in the field of philosophy of artificial
intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the
University of Leeds, UK. It covers: advanced knowledge on key AI
concepts, including complexity, computation, creativity,
embodiment, representation and superintelligence; cutting-edge
ethical issues, such as the AI impact on human dignity and society,
responsibilities and rights of machines, as well as AI threats to
humanity and AI safety; and cutting-edge developments in techniques
to achieve AI, including machine learning, neural networks,
dynamical systems. The book also discusses important applications
of AI, including big data analytics, expert systems, cognitive
architectures, and robotics. It offers a timely, yet very
comprehensive snapshot of what is going on in the field of AI,
especially at the interfaces between philosophy, cognitive science,
ethics and computing.
This book reports on the results of the third edition of the
premier conference in the field of philosophy of artificial
intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the
University of Leeds, UK. It covers: advanced knowledge on key AI
concepts, including complexity, computation, creativity,
embodiment, representation and superintelligence; cutting-edge
ethical issues, such as the AI impact on human dignity and society,
responsibilities and rights of machines, as well as AI threats to
humanity and AI safety; and cutting-edge developments in techniques
to achieve AI, including machine learning, neural networks,
dynamical systems. The book also discusses important applications
of AI, including big data analytics, expert systems, cognitive
architectures, and robotics. It offers a timely, yet very
comprehensive snapshot of what is going on in the field of AI,
especially at the interfaces between philosophy, cognitive science,
ethics and computing.
This volume offers a look at the fundamental issues of present and
future AI, especially from cognitive science, computer science,
neuroscience and philosophy. This work examines the conditions for
artificial intelligence, how these relate to the conditions for
intelligence in humans and other natural agents, as well as ethical
and societal problems that artificial intelligence raises or will
raise. The key issues this volume investigates include the relation
of AI and cognitive science, ethics of AI and robotics, brain
emulation and simulation, hybrid systems and cyborgs, intelligence
and intelligence testing, interactive systems, multi-agent systems,
and super intelligence. Based on the 2nd conference on "Theory and
Philosophy of Artificial Intelligence" held in Oxford, the volume
includes prominent researchers within the field from around the
world.
This volume offers a look at the fundamental issues of present and
future AI, especially from cognitive science, computer science,
neuroscience and philosophy. This work examines the conditions for
artificial intelligence, how these relate to the conditions for
intelligence in humans and other natural agents, as well as ethical
and societal problems that artificial intelligence raises or will
raise. The key issues this volume investigates include the relation
of AI and cognitive science, ethics of AI and robotics, brain
emulation and simulation, hybrid systems and cyborgs, intelligence
and intelligence testing, interactive systems, multi-agent systems,
and super intelligence. Based on the 2nd conference on "Theory and
Philosophy of Artificial Intelligence" held in Oxford, the volume
includes prominent researchers within the field from around the
world.
If the intelligence of artificial systems were to surpass that of
humans, humanity would face significant risks. The time has come to
consider these issues, and this consideration must include progress
in artificial intelligence (AI) as much as insights from AI theory.
Featuring contributions from leading experts and thinkers in
artificial intelligence, Risks of Artificial Intelligence is the
first volume of collected chapters dedicated to examining the risks
of AI. The book evaluates predictions of the future of AI, proposes
ways to ensure that AI systems will be beneficial to humans, and
then critically evaluates such proposals. The book covers the
latest research on the risks and future impacts of AI. It starts
with an introduction to the problem of risk and the future of
artificial intelligence, followed by a discussion
(Armstrong/Sokala/OhEigeartaigh) on how predictions of its future
have fared to date. Omohundro makes the point that even an
innocuous artificial agent can easily turn into a serious threat
for humans. T. Goertzel explains how to succeed in the design of
artificial agents. But will these be a threat for humanity, or a
useful tool? Ways to assure beneficial outcomes through 'machine
ethics' and 'utility functions' are discussed by Brundage and
Yampolskiy. B. Goertzel and Potapov/Rodionov propose 'learning' and
'empathy' as paths towards safer AI while Kornai explains how the
impact of AI may be bounded. Sandberg explains the implications of
human-like AI via the technique of brain emulation. Dewey discusses
strategies to deal with the 'fast takeoff' of artificial
intelligence and, finally, Bishop explains why there is no need to
worry because computers will remain in a state of 'artificial
stupidity'. Sharing insights from leading thinkers in artificial
intelligence, this book provides you with an expert-level
perspective of what is on the horizon for AI, whether it will be a
threat for humanity, and how we might counteract this threat.
Can we make machines that think and act like humans or other
natural intelligent agents? The answer to this question depends on
how we see ourselves and how we see the machines in question.
Classical AI and cognitive science had claimed that cognition is
computation, and can thus be reproduced on other computing
machines, possibly surpassing the abilities of human intelligence.
This consensus has now come under threat and the agenda for the
philosophy and theory of AI must be set anew, re-defining the
relation between AI and Cognitive Science. We can re-claim the
original vision of general AI from the technical AI disciplines; we
can reject classical cognitive science and replace it with a new
theory (e.g. embodied); or we can try to find new ways to approach
AI, for example from neuroscience or from systems theory. To do
this, we must go back to the basic questions on computing,
cognition and ethics for AI. The 30 papers in this volume provide
cutting-edge work from leading researchers that define where we
stand and where we should go from here.
Can we make machines that think and act like humans or other
natural intelligent agents? The answer to this question depends on
how we see ourselves and how we see the machines in question.
Classical AI and cognitive science had claimed that cognition is
computation, and can thus be reproduced on other computing
machines, possibly surpassing the abilities of human intelligence.
This consensus has now come under threat and the agenda for the
philosophy and theory of AI must be set anew, re-defining the
relation between AI and Cognitive Science. We can re-claim the
original vision of general AI from the technical AI disciplines; we
can reject classical cognitive science and replace it with a new
theory (e.g. embodied); or we can try to find new ways to approach
AI, for example from neuroscience or from systems theory. To do
this, we must go back to the basic questions on computing,
cognition and ethics for AI. The 30 papers in this volume provide
cutting-edge work from leading researchers that define where we
stand and where we should go from here.
This book gathers contributions from the fourth edition of the
Conference on "Philosophy and Theory of Artificial Intelligence"
(PT-AI), held on 27-28th of September 2021 at Chalmers University
of Technology, in Gothenburg, Sweden. It covers topics at the
interface between philosophy, cognitive science, ethics and
computing. It discusses advanced theories fostering the
understanding of human cognition, human autonomy, dignity and
morality, and the development of corresponding artificial cognitive
structures, analyzing important aspects of the relationship between
humans and AI systems, including the ethics of AI. This book offers
a thought-provoking snapshot of what is currently going on, and
what are the main challenges, in the multidisciplinary field of the
philosophy of artificial intelligence.
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