Η τεχνητή νοημοσύνη ως παράμετρος επεξεργασίας προσωπικών δεδομένων : συνταγματικές και ευρωπαϊκές προκλήσεις
Artificial Intelligence as a parameter in the processing of personal data : constitutional and European challenges

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Keywords
Τεχνητή Νοημοσύνη ; Προσωπικά δεδομένα ; Επεξεργασία δεδομένων ; Αλγοριθμικά συστήματα ; Αυτοματοποιημένη λήψη αποφάσεων ; GDPR (Γενικός Κανονισμός Προστασίας Δεδομένων) ; AI Act (Πράξη για την ΤΝ) ; Έννομο συμφέρον ; Διαφάνεια ; Στάθμιση δικαιωμάτων ; Θεσμικός έλεγχος ; Λογοδοσία ; Αλγοριθμική κρίση ; Προγνωστική ανάλυση ; Black-box ; Εκτίμηση αντικτύπου (DPIA) ; Προληπτικός έλεγχος ; Εποπτεία ; Δικαιώματα υποκειμένου δεδομένων ; Αλγοριθμική διακυβέρνηση ; Digital Omnibus ; Νομολογία ; Γενικός Κανονισμός Προστασίας ΔεδομένωνAbstract
This thesis examines Artificial Intelligence as a parameter that structurally transforms both the concept and the function of personal data processing within national and EU law. Its central research question is whether, and under what conditions, Artificial Intelligence may be understood not merely as a technical means of processing, but as a substantive criterion for the interpretation and application of the legal safeguards established by the General Data Protection Regulation and the European constitutional acquis.
The analysis demonstrates that algorithmic processing goes beyond the traditional management of data relating to past or present behaviour and extends to the production of predictive and evaluative inferences, which directly shape the legal and social position of the data subject.
Automated decision-making is therefore examined not simply as a technological development, but as a factor reconfiguring the constitutional safeguards governing personal data processing. The thesis analyses the impact of algorithmic judgment on fundamental rights and highlights the complementary operation of the GDPR and the Artificial Intelligence Act, in particular through the Data Protection Impact Assessment as an institutional mechanism of preventive balancing and oversight of data input architecture.
In conclusion, it is argued that Artificial Intelligence may function as a substantive criterion for personal data processing, particularly in the context of the balancing of legitimate interests, provided that enhanced safeguards of transparency, accountability and institutional oversight are ensured. Artificial Intelligence does not overturn the existing regulatory framework; rather, it requires a dynamic and constitutionally oriented interpretation of that framework, so that algorithmic governance remains compatible with the values of the rule of law.


