Artificial intelligence : a guide for thinking humans / Melanie Mitchell.

Format:

Book

Author/Creator:

Mitchell, Melanie (Computer scientist), author.

Language:

English

Subjects (All):

Artificial intelligence.

Machine learning.

Artificial Intelligence.

Machine Learning.

artificial intelligence.

Medical Subjects:

Artificial Intelligence.

Machine Learning.

Physical Description:

317 pages : illustrations, charts ; 21 cm

Edition:

First Picador paperback edition.

Place of Publication:

New York : Picador, 2020.

Summary:

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. -- back cover.

Contents:

Part I. Background. The roots of artificial intelligence

Neural networks and the ascent of machine learning

AI spring

Part II. Looking and seeing. Who, what, when, where, why

ConvNets and ImageNet

A closer look at machines that learn

On trustworthy and ethical AI

Part III. Learning to play. Rewards for robots

Game on

Beyond games

Part IV. Artificial intelligence meets natural language. Words, and the company they keep

Translation as encoding and decoding

Ask me anything

Part V. The barrier of meaning. On understanding

Knowledge, abstraction, and analogy in artificial intelligence

Questions, answers, and speculations.

Notes:

Includes bibliographical references (pages 281-302) and index.

ISBN:

9781250758040

1250758041

OCLC:

1228519330

Publisher Number:

40029501932