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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| Médium: | Online |
| Jazyk: | angličtina |
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The MIT Press
2022
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| On-line přístup: | ONIX_20220221_9780262363266_131 |
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| _version_ | 1869529212745940992 |
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| author | Hidalgo, César A. Orghian, Diana Canals, Jordi Albo Almeida, Filipa de Martin, Natalia |
| author_browse | Almeida, Filipa de Canals, Jordi Albo Hidalgo, César A. Martin, Natalia Orghian, Diana |
| author_facet | Hidalgo, César A. Orghian, Diana Canals, Jordi Albo Almeida, Filipa de Martin, Natalia |
| author_sort | Hidalgo, César A. |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-78611 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | The MIT Press |
| publisherStr | The MIT Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-786112024-04-14T10:28:27Z How Humans Judge Machines Hidalgo, César A. Orghian, Diana Canals, Jordi Albo Almeida, Filipa de Martin, Natalia A.I. Ethics Artificial Intelligence Robotics Psychology Automation Future of Work Fourth Industrial Revolution Algorithmic Bias Privacy Labor Displacement Machine Ethics Moral Psychology Ethics Human Robot Interactions Positive Philosophy Moral Experiments Intention Moral Foundations Theory Computational Creativity Uncertainity Fairness Bias Differential Privacy Anonymity Wrongness Demographics Moral Foundations Laws or Robotics Legal Implications of Robotics Bureacracies thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects 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. 2022-02-21T15:13:25Z 2022-02-21T15:13:25Z 2020 book ONIX_20220221_9780262363266_131 9780262363266 9780262045520 https://directory.doabooks.org/handle/20.500.12854/78611 eng The MIT Press image/jpeg n/a https://doi.org/10.7551/mitpress/13373.001.0001 The MIT Press The MIT Press ae0cf962-f685-4933-93d1-916defa5123d 9780262363266 9780262045520 The MIT Press 256 Cambridge open access |
| spellingShingle | A.I. Ethics Artificial Intelligence Robotics Psychology Automation Future of Work Fourth Industrial Revolution Algorithmic Bias Privacy Labor Displacement Machine Ethics Moral Psychology Ethics Human Robot Interactions Positive Philosophy Moral Experiments Intention Moral Foundations Theory Computational Creativity Uncertainity Fairness Bias Differential Privacy Anonymity Wrongness Demographics Moral Foundations Laws or Robotics Legal Implications of Robotics Bureacracies thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects Hidalgo, César A. Orghian, Diana Canals, Jordi Albo Almeida, Filipa de Martin, Natalia How Humans Judge Machines |
| title | How Humans Judge Machines |
| title_full | How Humans Judge Machines |
| title_fullStr | How Humans Judge Machines |
| title_full_unstemmed | How Humans Judge Machines |
| title_short | How Humans Judge Machines |
| title_sort | how humans judge machines |
| topic | A.I. Ethics Artificial Intelligence Robotics Psychology Automation Future of Work Fourth Industrial Revolution Algorithmic Bias Privacy Labor Displacement Machine Ethics Moral Psychology Ethics Human Robot Interactions Positive Philosophy Moral Experiments Intention Moral Foundations Theory Computational Creativity Uncertainity Fairness Bias Differential Privacy Anonymity Wrongness Demographics Moral Foundations Laws or Robotics Legal Implications of Robotics Bureacracies thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects |
| topic_facet | A.I. Ethics Artificial Intelligence Robotics Psychology Automation Future of Work Fourth Industrial Revolution Algorithmic Bias Privacy Labor Displacement Machine Ethics Moral Psychology Ethics Human Robot Interactions Positive Philosophy Moral Experiments Intention Moral Foundations Theory Computational Creativity Uncertainity Fairness Bias Differential Privacy Anonymity Wrongness Demographics Moral Foundations Laws or Robotics Legal Implications of Robotics Bureacracies thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects |
| url | ONIX_20220221_9780262363266_131 |
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