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Impact of Artificial Intelligence Research on Politics of the European Union Member States: The Case Study of Portugal

dc.contributor.authorReis, João
dc.contributor.authorSanto, Paula
dc.contributor.authorMelão, Nuno
dc.date.accessioned2021-03-26T09:08:36Z
dc.date.available2021-03-26T09:08:36Z
dc.date.issued2020
dc.description.abstractCurrently, artificial intelligence (AI) is at the center of academic and public debate. However, its implications on politics remain little understood. To understand the impact of the AI phenomenon on politics of the European Union (EU), we have carried out qualitative multimethod research by performing a systematic literature review and a case study. The first method was performed according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA), in order to report the state-of-the-art in the existing literature and explore the most relevant research areas. The second method contained contributions from experts in data science and AI of the Portuguese scientific community. The results showed that solutions such as intelligent decision support systems are improving the political decision-making process and impacting the Portuguese society at local, regional, and national levels. We also found that practitioners and scientists are currently shifting their interests from environmental and biological sciences to healthcare services, which is bringing new challenges in terms of protecting patient/citizen data and growing concerns about handling of critical information. Future research may focus on comparative studies with other EU States to obtain a comprehensive and holistic understanding of the AI phenomenon.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationReis, J., Santo, P., & Melão, N. (2020). Impact of artificial intelligence research on politics of the European Union member states: The case study of Portugal. Sustainability, 12(17), 6708.pt_PT
dc.identifier.doi10.3390/su12176708pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/36009
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationIPSTERS - IPSentinel Terrestrial Enhanced Recognition System
dc.relationUsage of Artificial Intelligence to power Teledermatological Screening
dc.relationEPISA—Inferência de Entidades e Propriedades para Arquivos Semânticos
dc.relationUnderstanding the drivers of academic achievement: Evidence for Portugal’s high school system
dc.relationModeling and prediction of road traffic accidents in the district of Setúbal
dc.subjectartificial intelligencept_PT
dc.subjectdecision-making processpt_PT
dc.subjecthealthcare servicespt_PT
dc.subjectintelligent decision support systemspt_PT
dc.subjectpoliticspt_PT
dc.subjectPortugalpt_PT
dc.subjectsocietypt_PT
dc.titleImpact of Artificial Intelligence Research on Politics of the European Union Member States: The Case Study of Portugalpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleIPSTERS - IPSentinel Terrestrial Enhanced Recognition System
oaire.awardTitleUsage of Artificial Intelligence to power Teledermatological Screening
oaire.awardTitleEPISA—Inferência de Entidades e Propriedades para Arquivos Semânticos
oaire.awardTitleUnderstanding the drivers of academic achievement: Evidence for Portugal’s high school system
oaire.awardTitleModeling and prediction of road traffic accidents in the district of Setúbal
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0089%2F2018/PT
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oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0022%2F2018/PT
oaire.citation.issue17pt_PT
oaire.citation.startPage6708pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume12pt_PT
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project.funder.identifierhttp://doi.org/10.13039/501100001871
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rcaap.typearticlept_PT
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