Archival Data Profile
- Page Count 336
- Publication Year 2025
- Publisher Picador
- ISBN-13 9781250404855
Artificial Intelligence
Archival Summary & Scope
Award-winning computer scientist Melanie Mitchell's *Artificial Intelligence: A Guide for Thinking Humans*, lauded by The New York Times and The Wall Street Journal as one of the best books on AI, offers an essential, accessible account of artificial intelligence. Mitchell traces AI's turbulent history, explaining different types of AI—how they work, how they fail, and how they compare to human intelligence. With a new preface addressing rapid advancements like generative AI and ChatGPT, she critically examines the profound disconnect between AI's widespread hype and its actual achievements. Interweaving stories of science and the people behind it, this frank and lively book provides clear-sighted insights into AI's true capabilities, its ethical implications, and its future impact, making it an indispensable guide for understanding today's AI and its effect on us all.Archival Categorization Notes
This literature has been indexed under the primary pillar of Technology. It was manually vetted for the Read For Truth database because it provides educational insights into Artificial Intelligence, assisting researchers in locating established secondary research within this specific taxonomy.