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Contemporary Legal Issues in the Age of AI and Digital Technologies: A GDPR Perspective
Title statement Contemporary Legal Issues in the Age of AI and Digital Technologies: A GDPR Perspective [rukopis] / Angela-Chiara Nardi Additional Variant Titles Contemporary Legal Issues in the Age of AI and Digital Technologies: A GDPR Perspective Personal name Nardi, Angela-Chiara, (dissertant) Translated title Contemporary Legal Issues in the Age of AI and Digital Technologies: A GDPR Perspective Issue data 2025 Phys.des. 59 p,115927 total characters Note Ved. práce Ondrej Hamuľák Another responsib. Hamuľák, Ondrej, 1982- (thesis advisor) Another responsib. Univerzita Palackého. Katedra mezinárodního a evropského práva (degree grantor) Keywords Artificial Intelligence (AI) * Large Language Models (LLMs) * General Data Protection Regulation (GDPR) * Data Subject Rights * Automated Decision-Making * Legal Compliance in AI Systems * Artificial Intelligence (AI) * Large Language Models (LLMs) * General Data Protection Regulation (GDPR) * Data Subject Rights * Automated Decision-Making * Legal Compliance in AI Systems Form, Genre diplomové práce master's theses UDC (043)378.2 Country Česko Language angličtina Document kind PUBLIKAČNÍ ČINNOST Title Mgr. Degree program Navazující Degree program International and European Law Degreee discipline International and European Law 
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Kvalifikační práce Downloaded Size datum zpřístupnění 00302836-755832020.docx 4 144.9 KB 22.07.2025 Posudek Typ posudku 00302836-ved-630330443.pdf Posudek vedoucího 00302836-opon-600863617.pdf Posudek oponenta Průběh obhajoby datum zadání datum odevzdání datum obhajoby přidělená hodnocení typ hodnocení 00302836-prubeh-867754319.pdf 27.05.2024 22.07.2025 19.09.2025 A Hodnocení známkou
The thesis focuses on the legal issues related to the implementation of GDPR in the context of generative big language models. It analyses selected data subjects' rights under Articles 12-22, their practical application to AI systems and proposes possible solutions to identified gaps in data protection.The thesis focuses on the legal issues related to the implementation of GDPR in the context of generative big language models. It analyses selected data subjects' rights under Articles 12-22, their practical application to AI systems and proposes possible solutions to identified gaps in data protection.
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