Technomoral Affordances of Artificial Intelligence in Data-Driven Systems

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dc.contributor.authorSharma, Ravi S.
dc.contributor.authorAhmad, Norita B.
dc.contributor.authorAli, Saqib
dc.contributor.authorBilal, Adil
dc.contributor.authorFatima, Samar
dc.contributor.authorKshetri, Nir
dc.contributor.authorAbu Salem, Fatima K.
dc.contributor.authorSibal, Prateek
dc.contributor.departmentDepartment of Computer Science
dc.contributor.facultyFaculty of Arts and Sciences (FAS)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:23:03Z
dc.date.available2025-01-24T11:23:03Z
dc.date.issued2022
dc.description.abstractIn a panel session on Data, Platforms, and Policies, participants examined the state of artificial intelligence (AI) in the Arab states and discussed the responsible use of AI in data-driven systems in government, health care, education, and industry. © 1970-2012 IEEE.
dc.identifier.doihttps://doi.org/10.1109/MC.2022.3190785
dc.identifier.eid2-s2.0-85139449863
dc.identifier.urihttp://hdl.handle.net/10938/25616
dc.language.isoen
dc.publisherIEEE Computer Society
dc.relation.ispartofComputer
dc.sourceScopus
dc.subjectComputers
dc.subjectAffordances
dc.subjectData driven
dc.subjectData platform
dc.subjectDriven system
dc.subjectHealth care education
dc.subjectHealthcare industry
dc.subjectPanel session
dc.subjectArtificial intelligence
dc.titleTechnomoral Affordances of Artificial Intelligence in Data-Driven Systems
dc.typeArticle

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