Artificial Intelligence A Guide for Thinking Humans (With a New Preface)
Artificial Intelligence: A Guide for Thinking Humans (With a New Preface) by Melanie Mitchell, published by Picador on September 2, 2025, is a comprehensive exploration of artificial intelligence and its implications. This edition features a new preface that contextualizes the book within the rapid advancements in AI since the emergence of generative AI and large language models in 2022. Mitchell, a leading computer scientist, provides an accessible overview of AI’s history, the various types of AI, and their comparisons to human intelligence.
Readers will find a detailed examination of modern AI models and machine learning, alongside discussions of notable AI programs and their creators. The book raises significant questions about the nature of intelligence while addressing the gap between public perception and actual achievements in the field. With 336 pages, this edition interweaves narratives about the science of AI and the individuals behind its development, offering insights into the social aspects and technological studies surrounding this transformative topic.
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Named One of the Five Best Books on AI by The New York Times and The Wall Street Journal
No technological development in recent history has generated as much excitement and terror—both utopian visions and apocalyptic nightmares—as artificial intelligence. Since generative AI and large language models exploded into our everyday lives in 2022 with the release of ChatGPT, AI has been the topic on everyone’s mind. And the award-winning author and leading computer scientist Melanie Mitchell’s acclaimed Artificial Intelligence: A Guide for Thinking Humans has been a touchstone for the debates.
With a new preface situating the book in the context of AI’s rapid progress, Artificial Intelligence offers an essential account of AI’s turbulent history and an accessible explanation of the different kinds of AI: how they work, how they fail, and how they compare to human intelligence and understanding. Along the way, Mitchell 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. Raising big questions about the nature of intelligence itself, she consults with fellow experts and 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 and captivating accounts of the most interesting and provocative work in the field. This frank, lively book is an indispensable guide to understanding today’s AI and its impact on the future for us all.
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