Description

Book Synopsis
How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more.

How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance?

How Humans Judge Machines compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions.

Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender?

César Hidalgo and colleagues use hard science to take on these pressing technological questions.

How Humans Judge Machines

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    A Hardback by Cesar A. Hidalgo, Diana Orghiain

    £33.00

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    Order before 4pm today for delivery by Tue 29 Sep 2026.

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      Book details

      Publisher MIT Press Ltd
      Published 2 February 2021
      ISBN-13 9780262045520
      978-0262045520
      ISBN-10 0262045524
      Also in:
      Computing Digital and IT general topics

      Description

      Book Synopsis
      How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more.

      How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance?

      How Humans Judge Machines compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions.

      Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender?

      César Hidalgo and colleagues use hard science to take on these pressing technological questions.

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