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Book Synopsis

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 intelligentreallyare 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 model

Artificial Intelligence

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    £16.00

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    RRP £20.00 – you save £4.00 (20%)

    Order before 4pm tomorrow for delivery by Mon 3 Aug 2026.

    A Paperback / softback by Melanie Mitchell

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      Publisher: Picador USA
      Publication Date: Publication Date: 17/11/2020
      ISBN13: 9781250758040, 978-1250758040
      ISBN10: 1250758041

      Description

      Book Synopsis

      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 intelligentreallyare 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 model

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