Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313423732> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4313423732 endingPage "645" @default.
- W4313423732 startingPage "628" @default.
- W4313423732 abstract "Abstract Machines are increasingly used to make decisions. We investigated people’s beliefs about how they do so. In six experiments, participants (total N = 2664) predicted how computer and human judges would decide legal cases on the basis of limited evidence — either individuating information from witness testimony or base-rate information. In Experiments 1 to 4, participants predicted that computer judges would be more likely than human ones to reach a guilty verdict, regardless of which kind of evidence was available. Besides asking about punishment, Experiment 5 also included conditions where the judge had to decide whether to reward suspected helpful behavior. Participants again predicted that computer judges would be more likely than human judges to decide based on the available evidence, but also predicted that computer judges would be relatively more punitive than human ones. Also, whereas participants predicted the human judge would give more weight to individuating than base-rate evidence, they expected the computer judge to be insensitive to the distinction between these kinds of evidence. Finally, Experiment 6 replicated the finding that people expect greater sensitivity to the distinction between individuating and base-rate information from humans than computers, but found that the use of cartoon images, as in the first four studies, prevented this effect. Overall, the findings suggest people expect machines to differ from humans in how they weigh different kinds of information when deciding." @default.
- W4313423732 created "2023-01-06" @default.
- W4313423732 creator A5005096721 @default.
- W4313423732 creator A5020936334 @default.
- W4313423732 creator A5049880072 @default.
- W4313423732 date "2022-05-01" @default.
- W4313423732 modified "2023-10-14" @default.
- W4313423732 title "Expectations of how machines use individuating information and base-rates" @default.
- W4313423732 cites W1897048461 @default.
- W4313423732 cites W1980054641 @default.
- W4313423732 cites W2010381146 @default.
- W4313423732 cites W2084585578 @default.
- W4313423732 cites W2099734055 @default.
- W4313423732 cites W2130960398 @default.
- W4313423732 cites W2131227926 @default.
- W4313423732 cites W2134782041 @default.
- W4313423732 cites W2185826818 @default.
- W4313423732 cites W2251410821 @default.
- W4313423732 cites W2302394415 @default.
- W4313423732 cites W2764192991 @default.
- W4313423732 cites W2791147019 @default.
- W4313423732 cites W2800068874 @default.
- W4313423732 cites W2886363025 @default.
- W4313423732 cites W2942858056 @default.
- W4313423732 cites W2961720344 @default.
- W4313423732 cites W2981686111 @default.
- W4313423732 cites W3013222570 @default.
- W4313423732 cites W3122683330 @default.
- W4313423732 cites W3125112758 @default.
- W4313423732 cites W3125633690 @default.
- W4313423732 cites W3167994336 @default.
- W4313423732 cites W3204230525 @default.
- W4313423732 cites W4285124040 @default.
- W4313423732 doi "https://doi.org/10.1017/s1930297500003600" @default.
- W4313423732 hasPublicationYear "2022" @default.
- W4313423732 type Work @default.
- W4313423732 citedByCount "0" @default.
- W4313423732 crossrefType "journal-article" @default.
- W4313423732 hasAuthorship W4313423732A5005096721 @default.
- W4313423732 hasAuthorship W4313423732A5020936334 @default.
- W4313423732 hasAuthorship W4313423732A5049880072 @default.
- W4313423732 hasBestOaLocation W43134237321 @default.
- W4313423732 hasConcept C134306372 @default.
- W4313423732 hasConcept C15744967 @default.
- W4313423732 hasConcept C17744445 @default.
- W4313423732 hasConcept C199539241 @default.
- W4313423732 hasConcept C2776213154 @default.
- W4313423732 hasConcept C2776900844 @default.
- W4313423732 hasConcept C2779295839 @default.
- W4313423732 hasConcept C33923547 @default.
- W4313423732 hasConcept C42058472 @default.
- W4313423732 hasConcept C77805123 @default.
- W4313423732 hasConcept C83645499 @default.
- W4313423732 hasConceptScore W4313423732C134306372 @default.
- W4313423732 hasConceptScore W4313423732C15744967 @default.
- W4313423732 hasConceptScore W4313423732C17744445 @default.
- W4313423732 hasConceptScore W4313423732C199539241 @default.
- W4313423732 hasConceptScore W4313423732C2776213154 @default.
- W4313423732 hasConceptScore W4313423732C2776900844 @default.
- W4313423732 hasConceptScore W4313423732C2779295839 @default.
- W4313423732 hasConceptScore W4313423732C33923547 @default.
- W4313423732 hasConceptScore W4313423732C42058472 @default.
- W4313423732 hasConceptScore W4313423732C77805123 @default.
- W4313423732 hasConceptScore W4313423732C83645499 @default.
- W4313423732 hasIssue "3" @default.
- W4313423732 hasLocation W43134237321 @default.
- W4313423732 hasOpenAccess W4313423732 @default.
- W4313423732 hasPrimaryLocation W43134237321 @default.
- W4313423732 hasRelatedWork W1988444754 @default.
- W4313423732 hasRelatedWork W2038387104 @default.
- W4313423732 hasRelatedWork W2076368098 @default.
- W4313423732 hasRelatedWork W2140135432 @default.
- W4313423732 hasRelatedWork W2735665660 @default.
- W4313423732 hasRelatedWork W2748952813 @default.
- W4313423732 hasRelatedWork W2899084033 @default.
- W4313423732 hasRelatedWork W3123966781 @default.
- W4313423732 hasRelatedWork W4206949444 @default.
- W4313423732 hasRelatedWork W182685641 @default.
- W4313423732 hasVolume "17" @default.
- W4313423732 isParatext "false" @default.
- W4313423732 isRetracted "false" @default.
- W4313423732 workType "article" @default.