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dc.contributor.authorMilossi, Maria-
dc.contributor.authorAlexandropoulou-Egyptiadou, Eugenia-
dc.contributor.authorPsannis, Kostas E.-
dc.date.accessioned2022-01-03T09:42:28Z-
dc.date.available2022-01-03T09:42:28Z-
dc.date.issued2021-04-12-
dc.identifier10.1109/ACCESS.2021.3072782en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2021.3072782en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/1099-
dc.description.abstractArtificial Intelligence (AI) refers to systems designed by humans, interpreting the already collected data and deciding the best action to take, according to the pre-defined parameters, in order to achieve the given goal. Designing, trial and error while using AI, brought ethics to the center of the dialogue between tech giants, enterprises, academic institutions as well as policymakers. Ethical challenges in AI brought ethical AI framework in place in an attempt to regulate people's lives and interactions, used for the benefit of society, for the human rights' protection as well as for the respect of individual's privacy and autonomy. The paper aims to summarize and critically evaluate the basic principles for the use of AI, with emphasis to the General Data Protection Regulation's (GDPR) approach, concerning data subject's consent, data protection principles and data subject's rights in a context of `privacy by design' architecture.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.sourceIEEE Accessen_US
dc.subjectFRASCATI::Social sciences::Lawen_US
dc.subjectFRASCATI::Engineering and technology::Other engineering and technologiesen_US
dc.subject.otherAIen_US
dc.subject.otherArtificial intelligenceen_US
dc.subject.otherprivacyen_US
dc.subject.otherdata protectionen_US
dc.subject.otherethicsen_US
dc.subject.otherGDPRen_US
dc.subject.otherToolsen_US
dc.subject.otherLicensesen_US
dc.subject.otherEducationen_US
dc.subject.otherPrediction algorithmsen_US
dc.subject.otherMedical servicesen_US
dc.titleAI Ethics: Algorithmic Determinism or Self-Determination? The GPDR Approachen_US
dc.typeArticleen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volume9en_US
local.identifier.firstpage58455en_US
local.identifier.lastpage58466en_US
local.identifier.eissn2169-3536en_US
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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