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Human Compatible by Stuart Russell

Title Human Compatible
Author Stuart Russell
Publisher Penguin UK
Release 2019-10-08
Category Computers
Total Pages 352
ISBN 0241335248
Language English, Spanish, and French
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Book Summary:

A FINANCIAL TIMES BEST BOOK OF THE YEAR: 'The most important book I have read in quite some time' Daniel Kahneman; 'A must-read' Max Tegmark; 'The book we've all been waiting for' Sam Harris Humans dream of super-intelligent machines. But what happens if we actually succeed? Creating superior intelligence would be the biggest event in human history. Unfortunately, according to the world's pre-eminent AI expert, it could also be the last. In this groundbreaking book, Stuart Russell sets out why he has come to consider his own discipline an existential threat to humanity, and how we can change course before it's too late. In brilliant and lucid prose, he explains how AI actually works and its enormous capacity to improve our lives - and why we must never lose control of machines more powerful than we are. Russell contends that we can avert the worst threats by reshaping the foundations of AI to guarantee that machines pursue our objectives, not theirs. Profound, urgent and visionary, Human Compatible is the one book everyone needs to read to understand a future that is coming sooner than we think. LONGLISTED FOR THE FINANCIAL TIMES & McKINSEY BUSINESS BOOK OF THE YEAR 'Thought-provoking' Financial Times 'Fascinating and significant' Sunday Times 'The most important book on AI this year' Guardian

Human Compatible by Stuart J. Russell

Title Human Compatible
Author Stuart J. Russell
Publisher Allen Lane
Release 2019-09-17
Category
Total Pages 320
ISBN 9780241335208
Language English, Spanish, and French
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Book Summary:

Humans dream of super-intelligent machines. But what happens if we actually succeed? Creating superior intelligence would be the biggest event in human history. Unfortunately, according to the world's pre-eminent AI expert, it could also be the last. In this groundbreaking book on the biggest question facing humanity, Stuart Russell explains why he has come to consider his own discipline an existential threat to our species, and lays out how we can change course before it's too late. There is no one better placed to assess the promise and perils of the dominant technology of the future than Russell, who has spent decades at the forefront of AI research. Through brilliant analogies and crisp, lucid prose, he explains how AI actually works, how it has an enormous capacity to improve our lives - but why we must ensure that we never lose control of machines more powerful than we are. Here Russell shows how we can avert the worst threats by reshaping the foundations of AI to guarantee that machines pursue our objectives, not theirs. Profound, urgent and visionary, Human Compatible is the one book everyone needs to read to understand a future that is coming sooner than we think.

HUMAN COMPATIBLE by STUART. RUSSELL

Title HUMAN COMPATIBLE
Author STUART. RUSSELL
Publisher
Release 2020
Category
Total Pages
ISBN 9780525558637
Language English, Spanish, and French
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Human Compatible by Stuart J. Russell

Title Human Compatible
Author Stuart J. Russell
Publisher
Release 2020
Category Artificial intelligence
Total Pages
ISBN 9780525507765
Language English, Spanish, and French
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Book Summary:

Title International Encyclopedia of Ergonomics and Human Factors Second Edition 3 Volume Set
Author Informa Healthcare
Publisher CRC Press
Release 2006-03-15
Category Technology & Engineering
Total Pages 3728
ISBN 9780849375477
Language English, Spanish, and French
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Book Summary:

The previous edition of the International Encyclopedia of Ergonomics and Human Factors made history as the first unified source of reliable information drawn from many realms of science and technology and created specifically with ergonomics professionals in mind. It was also a winner of the Best Reference Award 2002 from the Engineering Libraries Division, American Society of Engineering Education, USA, and the Outstanding Academic Title 2002 from Choice Magazine. Not content to rest on his laurels, human factors and ergonomics expert Professor Waldemar Karwowski has overhauled his standard-setting resource, incorporating coverage of tried and true methods, fundamental principles, and major paradigm shifts in philosophy, thought, and design. Demonstrating the truly interdisciplinary nature of this field, these changes make the second edition even more comprehensive, more informative, more, in a word, encyclopedic. Keeping the format popularized by the first edition, the new edition has been completely revised and updated. Divided into 13 sections and organized alphabetically within each section, the entries provide a clear and simple outline of the topics as well as precise and practical information. The book reviews applications, tools, and innovative concepts related to ergonomic research. Technical terms are defined (where possible) within entries as well as in a glossary. Students and professionals will find this format invaluable, whether they have ergonomics, engineering, computing, or psychology backgrounds. Experts and researchers will also find it an excellent source of information on areas beyond the range of their direct interests.

Human Like Machine Intelligence by Stephen Muggleton

Title Human Like Machine Intelligence
Author Stephen Muggleton
Publisher Oxford University Press
Release 2021-07-15
Category Computers
Total Pages 560
ISBN 0192607464
Language English, Spanish, and French
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Book Summary:

In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches. According to the influential US funding agency DARPA (originator of the Internet and Self-Driving Cars) this new area represents the Third Wave of Artificial Intelligence (3AI, 2020s-2030s), and is being actively investigated in the US, Europe and China. The chapters of this book have been authored by a mixture of UK and other international specialists. Some of the key questions addressed by the Human-Like Computing programme include how AI systems might 1) explain their decisions effectively, 2) interact with human beings in natural language, 3) learn from small numbers of examples and 4) learn with minimal supervision. Solving such fundamental problems involves new foundational research in both the Psychology of perception and interaction as well as the development of novel algorithmic approaches in Artificial Intelligence.

Title Handbook of Automotive Human Factors
Author Motoyuki Akamatsu
Publisher CRC Press
Release 2019-06-25
Category Computers
Total Pages 338
ISBN 0429536658
Language English, Spanish, and French
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Book Summary:

Thanks to advances in computer technology in the last twenty years, navigation system, cabin environment control, ACC, advanced driver assistance system (ADAS) and automated driving have become a part of the automobile experience. Improvement in technology enables us to design these with greater flexibility and provide greater value to the driver (human centered design). To achieve this, research is required by laboratories, automobile and auto parts manufacturers. Although there has been a lot of effort in human factors research and development, starting from basic research to product development, the knowledge and experience has not been integrated optimally. The aim of this book is to collect and review the information for researchers, designers and developers to learn and apply them for further research and development of human centered design of future automotive technologies. Automotive human factors include psychological, physiological, mathematical, engineering and even sociological aspects. This book offers valuable insights to applying the right approach in the right place.

Title The Alignment Problem Machine Learning and Human Values
Author Brian Christian
Publisher W. W. Norton & Company
Release 2020-10-06
Category Science
Total Pages 496
ISBN 039363583X
Language English, Spanish, and French
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Book Summary:

A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

Title Encyclopedia of Computer Science and Technology
Author Jack Belzer
Publisher CRC Press
Release 1978-02-01
Category Computers
Total Pages 516
ISBN 9780824722593
Language English, Spanish, and French
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Book Summary:

"This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."

Title The Myth of Artificial Intelligence
Author Erik J. Larson
Publisher Harvard University Press
Release 2021-04-06
Category Computers
Total Pages 288
ISBN 0674259920
Language English, Spanish, and French
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Book Summary:

“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.