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How humans judge machines

dc.contributor.authorHidalgo, César A.
dc.contributor.authorOrghian, Diana
dc.contributor.authorCanals, Jordi Albo
dc.contributor.authorAlmeida, Filipa de
dc.contributor.authorMartin, Natalia
dc.date.accessioned2023-10-25T09:13:38Z
dc.date.available2023-10-25T09:13:38Z
dc.date.issued2021-02
dc.description.abstractHow 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.isbn9780262045520
dc.identifier.urihttp://hdl.handle.net/10400.14/42901
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherThe MIT Presspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.titleHow humans judge machinespt_PT
dc.typebook
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typebookpt_PT

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