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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RRP £24.99 – you save £1.25 (5%)

Order before 4pm today for delivery by Sat 13 Dec 2025.

A Paperback by Catriona Havard

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    View other formats and editions of When Face Recognition Goes Wrong by Catriona Havard

    Publisher: Taylor & Francis
    Publication Date: 10/29/2024
    ISBN13: 9781032010953, 978-1032010953
    ISBN10: 1032010959

    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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