Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387447054> ?p ?o ?g. }
- W4387447054 endingPage "23" @default.
- W4387447054 startingPage "1" @default.
- W4387447054 abstract "The global health crisis represents an unprecedented opportunity for the development of artificial intelligence (AI) solutions. This article aims to tackle part of the biases in artificial intelligence by implementing a human-centric AI to help decision-makers in organizations. It relies on the results of two design science research (DSR) projects: SCHOPPER and VRAILEXIA. These two design projects operationalize the human-centric AI approach with two complementary stages: 1) the first installs a human-in-loop informed design process, and 2) the second implements a usage architecture that aggregates AI and humans. The proposed framework offers many advantages such as permitting to integrate of human knowledge into the design and training of the AI, providing humans with an understandable explanation of their predictions, and driving the advent of augmented intelligence that can turn algorithms into a powerful counterweight to human decision-making errors and humans as a counterweight to AI biases." @default.
- W4387447054 created "2023-10-10" @default.
- W4387447054 creator A5010921176 @default.
- W4387447054 creator A5050755625 @default.
- W4387447054 creator A5054275128 @default.
- W4387447054 date "2023-10-09" @default.
- W4387447054 modified "2023-10-11" @default.
- W4387447054 title "Human-Centric AI to Mitigate AI Biases" @default.
- W4387447054 cites W1500693574 @default.
- W4387447054 cites W1520685303 @default.
- W4387447054 cites W1607930791 @default.
- W4387447054 cites W1983479840 @default.
- W4387447054 cites W1990797806 @default.
- W4387447054 cites W2100495367 @default.
- W4387447054 cites W2123306226 @default.
- W4387447054 cites W2155806188 @default.
- W4387447054 cites W2161336914 @default.
- W4387447054 cites W2201744460 @default.
- W4387447054 cites W2343909946 @default.
- W4387447054 cites W2531099434 @default.
- W4387447054 cites W2557671501 @default.
- W4387447054 cites W2734256217 @default.
- W4387447054 cites W2794429296 @default.
- W4387447054 cites W2805310212 @default.
- W4387447054 cites W2805992252 @default.
- W4387447054 cites W2895763047 @default.
- W4387447054 cites W2949474492 @default.
- W4387447054 cites W2960630842 @default.
- W4387447054 cites W2968770299 @default.
- W4387447054 cites W2969625533 @default.
- W4387447054 cites W2973318118 @default.
- W4387447054 cites W3006087551 @default.
- W4387447054 cites W3023070073 @default.
- W4387447054 cites W3035156651 @default.
- W4387447054 cites W3037276488 @default.
- W4387447054 cites W3094793347 @default.
- W4387447054 cites W3112562690 @default.
- W4387447054 cites W3124761574 @default.
- W4387447054 cites W3129794348 @default.
- W4387447054 cites W3137057398 @default.
- W4387447054 cites W3142805939 @default.
- W4387447054 cites W3143422074 @default.
- W4387447054 cites W3151685851 @default.
- W4387447054 cites W3178738300 @default.
- W4387447054 cites W3207333871 @default.
- W4387447054 cites W3213921542 @default.
- W4387447054 cites W4206997981 @default.
- W4387447054 cites W4210289118 @default.
- W4387447054 cites W4211255666 @default.
- W4387447054 cites W4243775359 @default.
- W4387447054 cites W4297182971 @default.
- W4387447054 cites W4300962845 @default.
- W4387447054 cites W4307572783 @default.
- W4387447054 cites W4308467154 @default.
- W4387447054 cites W4311995574 @default.
- W4387447054 doi "https://doi.org/10.4018/jgim.331755" @default.
- W4387447054 hasPublicationYear "2023" @default.
- W4387447054 type Work @default.
- W4387447054 citedByCount "0" @default.
- W4387447054 crossrefType "journal-article" @default.
- W4387447054 hasAuthorship W4387447054A5010921176 @default.
- W4387447054 hasAuthorship W4387447054A5050755625 @default.
- W4387447054 hasAuthorship W4387447054A5054275128 @default.
- W4387447054 hasBestOaLocation W43874470541 @default.
- W4387447054 hasConcept C105409693 @default.
- W4387447054 hasConcept C111472728 @default.
- W4387447054 hasConcept C111919701 @default.
- W4387447054 hasConcept C127413603 @default.
- W4387447054 hasConcept C138885662 @default.
- W4387447054 hasConcept C154945302 @default.
- W4387447054 hasConcept C2522767166 @default.
- W4387447054 hasConcept C2779585191 @default.
- W4387447054 hasConcept C41008148 @default.
- W4387447054 hasConcept C56739046 @default.
- W4387447054 hasConcept C66938386 @default.
- W4387447054 hasConcept C9354725 @default.
- W4387447054 hasConcept C98045186 @default.
- W4387447054 hasConceptScore W4387447054C105409693 @default.
- W4387447054 hasConceptScore W4387447054C111472728 @default.
- W4387447054 hasConceptScore W4387447054C111919701 @default.
- W4387447054 hasConceptScore W4387447054C127413603 @default.
- W4387447054 hasConceptScore W4387447054C138885662 @default.
- W4387447054 hasConceptScore W4387447054C154945302 @default.
- W4387447054 hasConceptScore W4387447054C2522767166 @default.
- W4387447054 hasConceptScore W4387447054C2779585191 @default.
- W4387447054 hasConceptScore W4387447054C41008148 @default.
- W4387447054 hasConceptScore W4387447054C56739046 @default.
- W4387447054 hasConceptScore W4387447054C66938386 @default.
- W4387447054 hasConceptScore W4387447054C9354725 @default.
- W4387447054 hasConceptScore W4387447054C98045186 @default.
- W4387447054 hasIssue "5" @default.
- W4387447054 hasLocation W43874470541 @default.
- W4387447054 hasOpenAccess W4387447054 @default.
- W4387447054 hasPrimaryLocation W43874470541 @default.
- W4387447054 hasRelatedWork W1501886288 @default.
- W4387447054 hasRelatedWork W2000654836 @default.
- W4387447054 hasRelatedWork W2335638086 @default.
- W4387447054 hasRelatedWork W2352001358 @default.