Intelligence Is Not Artificial


Intelligence Is Not Artificial
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Intelligence Is Not Artificial


Intelligence Is Not Artificial
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Author : Piero Scaruffi
language : en
Publisher:
Release Date : 2014-12-22

Intelligence Is Not Artificial written by Piero Scaruffi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-22 with categories.


Writers, inventors and entrepreneurs, impressed by progress in several scientific fields, are debating whether we may be heading for a "singularity" in which machines with super-human intelligence will arise and multiply. In parallel enthusiastic coverage in the media has widely publicized machines performing sophisticated tasks, from beating the world's chess champion to driving a car, from recognizing animals in videos to beating human experts on quiz shows. These stories have reignited interest in the discipline of Artificial Intelligence, whose goal is to create machines that are as intelligent as humans. First of all, this book provides a "reality check" of sorts on simulating human intelligence and achieving superhuman intelligence. I show that, in a society driven by media that desperately need sensational news to make money and in an academic world increasingly driven by the desire to turn research into Silicon Valley start-ups, technological progress in general, and progress in computer science in particular, is often overrated. I wanted to dispel some notions, and my version of the facts may sound controversial until you read my explanations. For example: non-human intelligence is already among us, and is multiplying rapidly, but it is not a machine. For example: progress in Artificial Intelligence has been negligible and one reason is, ironically, that computers have become so much more powerful. For example: the program of turning machines into humans is not very successful yet, but the program of turning humans into machines (via an almost infinite repertory of rules and regulations) is very successful. The new generations missed the debates of the previous decades (the "Turing test," the "ghost in the machine," the "Chinese room," etc) and some of us think that these new generations, trained in hyper-specialized disciplines, don't have the knowledge to understand them even if they were forced to read them. Therefore it is much easier for the new A.I. practitioners to impress the new generations. I have summarized the various philosophical arguments in favor of and against the feasibility of machine intelligence in my book "The Nature of Consciousness" and i won't repeat them here. I will, however, at least caution the new generations that i "grew up" (as far as cognitive science goes) at a time when the term "intelligence" was not "cool" at all: too vague, too unscientific, too abused in popular literature to lend itself to scientific investigation. In fact, the mother of all problems in this debate is at the very source: "singularity" and "superhuman intelligence" are non-scientific terms based on non-scientific chatting. The term "intelligence" itself is hardly scientific. Ask one hundred psychologists and you will get one hundred different definitions. Ask philosophers and you will get thick tomes written in a cryptic language. Ask neurobiologists and they may simply ignore you. I also feel that this discussion should be complemented with an important (more important?) discussion about the changes in human intelligence due to the increased "intelligence" of machines. This change in human intelligence may have a stronger impact on the future of human civilization than the improvements in machine intelligence. Finally, i am intrigued by another sociological/anthropological aspect of this discussion: humans seem to have a genetic propensity to believe in higher forms of intelligence (gods, saints, UFOs, ...) and the myth of the Singularity could simply be its manifestation in our post-religious 21st century.



Intelligence Is Not Artificial


Intelligence Is Not Artificial
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Author : Piero Scaruffi
language : en
Publisher:
Release Date : 2018-05

Intelligence Is Not Artificial written by Piero Scaruffi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05 with categories.


This book provides a detailed history of Artificial Intelligence, and a "reality check".Themes explored in this book include:- Most of the "intelligence" of our machines is dueto the environment that humans structure for them.- We are building "vast algorithmic bureaucracies" all around us.- Automation is an effect, not a cause.- The danger is not that machines will become as intelligent as us but that we will become as dumb as them (the Turing Test in reverse).- We have always coexisted with super-human (or, better, non-human) intelligence.- The Singularity is simply a religion for the god-less 21st century.



The Myth Of Artificial Intelligence


The Myth Of Artificial Intelligence
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Author : Erik J. Larson
language : en
Publisher: Harvard University Press
Release Date : 2021-04-06

The Myth Of Artificial Intelligence written by Erik J. Larson and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Computers categories.


“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.



Algorithms Are Not Enough


Algorithms Are Not Enough
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Author : Herbert L. Roitblat
language : en
Publisher: MIT Press
Release Date : 2020-10-13

Algorithms Are Not Enough written by Herbert L. Roitblat and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-13 with Computers categories.


Why a new approach is needed in the quest for general artificial intelligence. Since the inception of artificial intelligence, we have been warned about the imminent arrival of computational systems that can replicate human thought processes. Before we know it, computers will become so intelligent that humans will be lucky to kept as pets. And yet, although artificial intelligence has become increasingly sophisticated—with such achievements as driverless cars and humanless chess-playing—computer science has not yet created general artificial intelligence. In Algorithms Are Not Enough, Herbert Roitblat explains how artificial general intelligence may be possible and why a robopocalypse is neither imminent, nor likely. Existing artificial intelligence, Roitblat shows, has been limited to solving path problems, in which the entire problem consists of navigating a path of choices—finding specific solutions to well-structured problems. Human problem-solving, on the other hand, includes problems that consist of ill-structured situations, including the design of problem-solving paths themselves. These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science. Roitblat draws on cognitive science, including psychology, philosophy, and history, to identify the essential features of intelligence needed to achieve general artificial intelligence. Roitblat describes current computational approaches to intelligence, including the Turing Test, machine learning, and neural networks. He identifies building blocks of natural intelligence, including perception, analogy, ambiguity, common sense, and creativity. General intelligence can create new representations to solve new problems, but current computational intelligence cannot. The human brain, like the computer, uses algorithms; but general intelligence, he argues, is more than algorithmic processes.



The Atlas Of Ai


The Atlas Of Ai
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Author : Kate Crawford
language : en
Publisher: Yale University Press
Release Date : 2021-04-06

The Atlas Of Ai written by Kate Crawford and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Computers categories.


The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind "automated" services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.



Humans Need Not Apply


Humans Need Not Apply
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Author : Jerry Kaplan
language : en
Publisher: Yale University Press
Release Date : 2015-08-04

Humans Need Not Apply written by Jerry Kaplan and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-04 with Technology & Engineering categories.


An “intriguing, insightful” look at how algorithms and robots could lead to social unrest—and how to avoid it (The Economist, Books of the Year). After decades of effort, researchers are finally cracking the code on artificial intelligence. Society stands on the cusp of unprecedented change, driven by advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure—but as AI expert and Silicon Valley entrepreneur Jerry Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. In Humans Need Not Apply, he proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promises and perils of AI is a must-read for business leaders and policy makers on both sides of the aisle. “A reminder that AI systems don’t need red laser eyes to be dangerous.”—Times Higher Education Supplement “Kaplan…sidesteps the usual arguments of techno-optimism and dystopia, preferring to go for pragmatic solutions to a shrinking pool of jobs.”—Financial Times



Artificial Intelligence And The Environmental Crisis


Artificial Intelligence And The Environmental Crisis
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Author : Keith Ronald Skene
language : en
Publisher: Routledge
Release Date : 2019-12-19

Artificial Intelligence And The Environmental Crisis written by Keith Ronald Skene and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-19 with Computers categories.


A radical and challenging book which argues that artificial intelligence needs a completely different set of foundations, based on ecological intelligence rather than human intelligence, if it is to deliver on the promise of a better world. This can usher in the greatest transformation in human history, an age of re-integration. Our very existence is dependent upon our context within the Earth System, and so, surely, artificial intelligence must also be grounded within this context, embracing emergence, interconnectedness and real-time feedback. We discover many positive outcomes across the societal, economic and environmental arenas and discuss how this transformation can be delivered. Key Features: Identifies a key weakness in current AI thinking, that threatens any hope of a better world. Highlights the importance of realizing that systems theory is an essential foundation for any technology that hopes to positively transform our world. Emphasizes the need for a radical new approach to AI, based on ecological systems. Explains why ecosystem intelligence, not human intelligence, offers the best framework for AI. Examines how this new approach will impact on the three arenas of society, environment and economics, ushering in a new age of re-integration.



Artificial Intelligence Basics


Artificial Intelligence Basics
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Author : Tom Taulli
language : en
Publisher: Apress
Release Date : 2019-08-01

Artificial Intelligence Basics written by Tom Taulli and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-01 with Computers categories.


Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, and future impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking. What You Will Learn Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch FixUnderstand how AI capabilities for robots can improve businessDeploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer serviceAvoid costly gotchasRecognize ethical concerns and other risk factors of using artificial intelligenceExamine the secular trends and how they may impact your business Who This Book Is For Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.



Your Wit Is My Command


Your Wit Is My Command
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Author : Tony Veale
language : en
Publisher: MIT Press
Release Date : 2021-09-07

Your Wit Is My Command written by Tony Veale and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-07 with Computers categories.


For fans of computers and comedy alike, an accessible and entertaining look into how we can use artificial intelligence to make smart machines funny. Most robots and smart devices are not known for their joke-telling abilities. And yet, as computer scientist Tony Veale explains in Your Wit Is My Command, machines are not inherently unfunny; they are just programmed that way. By examining the mechanisms of humor and jokes--how jokes actually works--Veale shows that computers can be built with a sense of humor, capable not only of producing a joke but also of appreciating one. Along the way, he explores the humor-generating capacities of fictional robots ranging from B-9 in Lost in Space to TARS in Interstellar, maps out possible scenarios for developing witty robots, and investigates such aspects of humor as puns, sarcasm, and offensiveness. In order for robots to be funny, Veale explains, we need to analyze humor computationally. Using artificial intelligence (AI), Veale shows that joke generation is a knowledge-based process--a sense of humor is blend of wit and wisdom. He notes that existing technologies can detect sarcasm in conversation, and explains how some jokes can be pre-scripted while others are generated algorithmically--all while making the technical aspects of AI accessible for the general reader. Of course, there's no single algorithm or technology that we can plug in to make our virtual assistants or GPS voice navigation funny, but Veale provides a computational roadmap for how we might get there.



Universal Artificial Intelligence


Universal Artificial Intelligence
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Author : Marcus Hutter
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-29

Universal Artificial Intelligence written by Marcus Hutter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-29 with Computers categories.


Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob lems, pattern recognition, classification, learning, induction, deduction, build ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.