On The Trail Of Artificial Intelligence
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Author | : Mark Deem |
Publisher | : Bloomsbury Publishing |
Total Pages | : 347 |
Release | : 2022-06-16 |
Genre | : Law |
ISBN | : 1526513579 |
AI on Trial follows the same process as a High Court trial, and in so doing it takes an innovative approach to the most innovative of technological areas. Addressing the current state of artificial intelligence and the law, the book identifies why the technology should be 'placed on trial' and presents relevant evidence, before passing 'judgment' and proposing a Manifesto for Responsible AI and a blueprint for an ethical, legal and regulatory framework. The 'trial' examines such questions as: -Should AI, a computer technology, have rights and responsibilities? -What are the legal and ethical issues created by the implicit bias of coders and data sets? -Is AI racist? -Do we need a Hippocratic Oath in AI? -Could AI lead to a data war to end all wars? -Can we trust AI? Readers will benefit from understanding the necessary considerations in formulating any legal framework and will come to recognise the role of any such framework, not only in preventing harm, but in supporting growth and technological advancement. Written from the viewpoint of practitioners, academics and journalists, this is an essential title for all information and technology law practitioners, in-house counsel, data protection officers, company directors, finance directors, academics and students. Technologists, regulators, legislators and journalists interested in getting to grips with the issues presented by AI will also benefit. This title is included in Bloomsbury Professional's Cyber Law online service.
Author | : Erik J. Larson |
Publisher | : Harvard University Press |
Total Pages | : 321 |
Release | : 2021-04-06 |
Genre | : Computers |
ISBN | : 0674983513 |
“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.
Author | : Mike Brooks |
Publisher | : Springer |
Total Pages | : 678 |
Release | : 2003-07-31 |
Genre | : Computers |
ISBN | : 3540456562 |
This book constitutes the refereed proceedings of the 14th Australian Joint Conference on Artificial Intelligence, AI 2001, held in Adelaide, Australia, in December 2001. The 55 revised full papers presented together with one invited contribution were carefully reviewed and selected from a total of 100 submissions. The papers cover the whole range of artificial intelligence from theoretical and foundational issues to advanced applications in a variety of fields.
Author | : Max Tegmark |
Publisher | : Vintage |
Total Pages | : 385 |
Release | : 2017-08-29 |
Genre | : Technology & Engineering |
ISBN | : 1101946601 |
New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle? What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.
Author | : Rashed Haq |
Publisher | : John Wiley & Sons |
Total Pages | : 368 |
Release | : 2020-06-10 |
Genre | : Business & Economics |
ISBN | : 1119665973 |
Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.
Author | : Richard Urwin |
Publisher | : Arcturus Publishing |
Total Pages | : 154 |
Release | : 2024-08-01 |
Genre | : Computers |
ISBN | : 1398842842 |
What is artificial intelligence (AI)? What can it do and how is it created? In this highly accessible guide to the subject, Richard Urwin explains how AI came about and how it has developed over the years through the construction of ever more sophisticated computer programs. Along the way, you will discover numerous intriguing examples of how scientists have progressed the development of AI, as well as finding out how research into brain function is continually influencing this dynamic field. By turns fascinating and scary, Artificial Intelligence takes the reader on an amazing journey that covers everything from the habits of ants to the world of the stock market. This edition has been fully updated to take account of the latest developments.
Author | : Melanie Mitchell |
Publisher | : Farrar, Straus and Giroux |
Total Pages | : 216 |
Release | : 2019-10-15 |
Genre | : Computers |
ISBN | : 0374715238 |
“After reading Mitchell’s guide, you’ll know what you don’t know and what other people don’t know, even though they claim to know it. And that’s invaluable." –The New York Times A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
Author | : Richard E. Neapolitan |
Publisher | : CRC Press |
Total Pages | : 481 |
Release | : 2018-03-12 |
Genre | : Computers |
ISBN | : 1351384392 |
The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.
Author | : Ahmed Y. Tawfik |
Publisher | : Springer |
Total Pages | : 595 |
Release | : 2004-04-16 |
Genre | : Computers |
ISBN | : 3540248404 |
This book constitutes the refereed proceedings of the 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, held in London, Ontario, Canada in May 2004. The 29 revised full papers and 22 revised short papers were carefully reviewed and selected from 105 submissions. These papers are presented together with the extended abstracts of 14 contributions to the graduate students' track. The full papers are organized in topical sections on agents, natural language processing, learning, constraint satisfaction and search, knowledge representation and reasoning, uncertainty, and neural networks.
Author | : MKP |
Publisher | : Elsevier |
Total Pages | : 625 |
Release | : 2014-06-28 |
Genre | : Computers |
ISBN | : 1483298604 |
Uncertainty Proceedings 1994