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Artificial Intelligence: A Guide for Thinking Humans

In this acclaimed guide—named one of the best books on AI by The New York Times and The Wall Street Journal—renowned computer scientist Melanie Mitchell provides a lucid guide to artificial intelligence. She traces AI's turbulent history from its early symbolic systems to modern machine learning, explaining in accessible terms how neural networks, computer vision, and natural language processing work, and why they often make laughably obvious mistakes.

Mitchell's core argument is that although AI performs remarkably well at pattern recognition and specific tasks, it still lacks common sense, genuine understanding, and the ability to make abstractions and analogies the way humans do. By comparing human cognition with machine intelligence, she explores AI's limitations, the challenges of trust and ethics, and how far it truly is from human-level general intelligence—helping readers see past the hype to understand AI's real achievements and future challenges.

Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.3 MIT a c1

Penerbit

New York : Picador., 2025

Deskripsi Fisik

336 pages :8.19" L x 5.42" W x 0.92" H

Bahasa

English

ISBN/ISSN

9781250758040

Klasifikasi

006.3

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Artificial Intelligence

Info Detail Spesifik

A clear-eyed guide to artificial intelligence that cuts through the hype to explain what AI can and cannot do. Mitchell traces AI's history from symbolic systems to modern machine learning, explains how neural networks and natural language processing work, and argues that despite impressive progress, AI still lacks human-like common sense, understanding, and abstraction.

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