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https://ruomo.lib.uom.gr/handle/7000/1099
Πλήρης εγγραφή μεταδεδομένων
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Milossi, Maria | - |
dc.contributor.author | Alexandropoulou-Egyptiadou, Eugenia | - |
dc.contributor.author | Psannis, Kostas E. | - |
dc.date.accessioned | 2022-01-03T09:42:28Z | - |
dc.date.available | 2022-01-03T09:42:28Z | - |
dc.date.issued | 2021-04-12 | - |
dc.identifier | 10.1109/ACCESS.2021.3072782 | en_US |
dc.identifier.uri | https://doi.org/10.1109/ACCESS.2021.3072782 | en_US |
dc.identifier.uri | https://ruomo.lib.uom.gr/handle/7000/1099 | - |
dc.description.abstract | Artificial 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.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.source | IEEE Access | en_US |
dc.subject | FRASCATI::Social sciences::Law | en_US |
dc.subject | FRASCATI::Engineering and technology::Other engineering and technologies | en_US |
dc.subject.other | AI | en_US |
dc.subject.other | Artificial intelligence | en_US |
dc.subject.other | privacy | en_US |
dc.subject.other | data protection | en_US |
dc.subject.other | ethics | en_US |
dc.subject.other | GDPR | en_US |
dc.subject.other | Tools | en_US |
dc.subject.other | Licenses | en_US |
dc.subject.other | Education | en_US |
dc.subject.other | Prediction algorithms | en_US |
dc.subject.other | Medical services | en_US |
dc.title | AI Ethics: Algorithmic Determinism or Self-Determination? The GPDR Approach | en_US |
dc.type | Article | en_US |
dc.contributor.department | Τμήμα Εφαρμοσμένης Πληροφορικής | en_US |
local.identifier.volume | 9 | en_US |
local.identifier.firstpage | 58455 | en_US |
local.identifier.lastpage | 58466 | en_US |
local.identifier.eissn | 2169-3536 | en_US |
Εμφανίζεται στις Συλλογές: | Τμήμα Εφαρμοσμένης Πληροφορικής |
Αρχεία σε αυτό το Τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
---|---|---|---|---|
AI_Ethics_Algorithmic_Determinism_or_Self-Determination_The_GPDR_Approach.pdf | 6,01 MB | Adobe PDF | Προβολή/Ανοιγμα |
Τα τεκμήρια στο Αποθετήριο προστατεύονται από πνευματικά δικαιώματα, εκτός αν αναφέρεται κάτι διαφορετικό.