Description

Book Synopsis

When Face Recognition Goes Wrong explores the myriad ways

that humans and machines make mistakes in facial recognition.

Adopting a critical stance throughout, the book explores why

and how humans and machines make mistakes, covering topics

including racial and gender biases, neuropsychological disorders,

and widespread algorithm problems. The book features personal

anecdotes alongside real-world examples to showcase the often

life-changing consequences of facial recognition going wrong.

These range from problems with everyday social interactions

through to eyewitness identification leading to miscarriages of

justice and border control passport verification.

Concluding with a look to the future of facial recognition, the

author asks the world's leading experts what are the big questions

that still need to be answered, and can we train humans and

machines to be super recognisers? This book is

When Face Recognition Goes Wrong

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    A Paperback by Catriona Havard

    £24.99

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    Order before 4pm today for delivery by Wed 2 Sep 2026.

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      Book details

      Publisher Taylor & Francis
      Published 10/29/2024
      ISBN-13 9781032010953
      978-1032010953
      ISBN-10 1032010959
      Also in:
      Computing Social and ethical aspects

      Description

      Book Synopsis

      When Face Recognition Goes Wrong explores the myriad ways

      that humans and machines make mistakes in facial recognition.

      Adopting a critical stance throughout, the book explores why

      and how humans and machines make mistakes, covering topics

      including racial and gender biases, neuropsychological disorders,

      and widespread algorithm problems. The book features personal

      anecdotes alongside real-world examples to showcase the often

      life-changing consequences of facial recognition going wrong.

      These range from problems with everyday social interactions

      through to eyewitness identification leading to miscarriages of

      justice and border control passport verification.

      Concluding with a look to the future of facial recognition, the

      author asks the world's leading experts what are the big questions

      that still need to be answered, and can we train humans and

      machines to be super recognisers? This book is

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