How Humans Judge Machines

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 di...

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Bibliographic Details
Main Author: Hidalgo, César A. (auth)
Other Authors: Orghian, Diana (auth), Canals, Jordi Albo (auth), Almeida, Filipa de (auth), Martin, Natalia (auth)
Format: Book Chapter
Published: Cambridge The MIT Press 2020
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Online Access:Get Fullteks
DOAB: description of the publication
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100 1 |a Hidalgo, César A.  |4 auth 
700 1 |a Orghian, Diana  |4 auth 
700 1 |a Canals, Jordi Albo  |4 auth 
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700 1 |a Martin, Natalia  |4 auth 
245 1 0 |a How Humans Judge Machines 
260 |a Cambridge  |b The MIT Press  |c 2020 
300 |a 1 electronic resource (256 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer to understanding the ethical consequences of AI. Written by César A. Hidalgo, the author of Why Information Grows and coauthor of The Atlas of Economic Complexity (MIT Press), together with a team of social psychologists (Diana Orghian and Filipa de Almeida) and roboticists (Jordi Albo-Canals), How Humans Judge Machines presents a unique perspective on the nexus between artificial intelligence and society. Anyone interested in the future of AI ethics should explore the experiments and theories in How Humans Judge Machines. 
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650 7 |a Machine learning  |2 bicssc 
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653 |a A.I. Ethics 
653 |a Artificial Intelligence 
653 |a Robotics 
653 |a Psychology 
653 |a Automation 
653 |a Future of Work 
653 |a Fourth Industrial Revolution 
653 |a Algorithmic Bias 
653 |a Privacy 
653 |a Labor Displacement 
653 |a Machine Ethics 
653 |a Moral Psychology 
653 |a Ethics 
653 |a Human Robot Interactions 
653 |a Positive Philosophy 
653 |a Moral Experiments 
653 |a Intention 
653 |a Moral Foundations Theory 
653 |a Computational Creativity 
653 |a Uncertainity 
653 |a Fairness 
653 |a Bias 
653 |a Differential Privacy 
653 |a Anonymity 
653 |a Wrongness 
653 |a Demographics 
653 |a Moral Foundations 
653 |a Laws or Robotics 
653 |a Legal Implications of Robotics 
653 |a Bureacracies 
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