Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/31460
DC FieldValueLanguage
dc.contributor.authorPolyviou, Ariana-
dc.contributor.authorZamani, Efpraxia D.-
dc.date.accessioned2024-02-26T10:28:13Z-
dc.date.available2024-02-26T10:28:13Z-
dc.date.issued2023-02-01-
dc.identifier.citationInformation Systems Frontiers, 2023, vol. 25, iss. 1, pp. 143 - 159en_US
dc.identifier.issn13873326-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/31460-
dc.description.abstractOf all emerging technologies, Artificial Intelligence (AI) is perhaps the most debated topic in contemporary society because it promises to redefine and disrupt several sectors. At the same time, AI poses challenges for policymakers and decision-makers, particularly regarding formulating strategies and regulations to address their stakeholders’ needs and perceptions. This paper explores stakeholder perceptions as expressed through their participation in the formulation of Europe’s AI strategy and sheds light on the challenges of AI in Europe and the expectations for the future. Our analysis reveals six dimensions towards an AI strategy; ecosystems, education, liability, data availability sufficiency & protection, governance and autonomy. It draws on these dimensions to construct a desires-realities framework for AI strategy in Europe and provide a research agenda for addressing existing realities. Our findings contribute to understanding stakeholder desires on AI and hold important implications for research, practice and policymaking.en_US
dc.language.isoenen_US
dc.relation.ispartofInformation Systems Frontiersen_US
dc.rights© The Author(s)en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAI ethicsen_US
dc.subjectAI strategyen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectTechnology policyen_US
dc.subjectTechnology regulationen_US
dc.titleAre we Nearly There Yet? A Desires & Realities Framework for Europe’s AI Strategyen_US
dc.typeArticleen_US
dc.collaborationUniversity of Nicosiaen_US
dc.collaborationUniversity of Sheffielden_US
dc.subject.categoryEconomics and Businessen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1007/s10796-022-10285-2en_US
dc.identifier.scopus2-s2.0-85131518317-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85131518317-
dc.relation.issue1en_US
dc.relation.volume25en_US
cut.common.academicyear2022-2023en_US
dc.identifier.spage143en_US
dc.identifier.epage159en_US
item.cerifentitytypePublications-
item.openairetypearticle-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1en-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Management, Entrepreneurship and Digital Business-
crisitem.author.facultyFaculty of Tourism Management, Hospitality and Entrepreneurship-
crisitem.author.orcid0000-0002-9808-5422-
crisitem.author.parentorgFaculty of Tourism Management, Hospitality and Entrepreneurship-
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