Automated Decision-Making in Cross-Border Commerce: Reconciling GDPR Compliance with Business Efficiency

A tétel rövid nézete
dc.contributor.advisorFezer, Tamas
dc.contributor.authorMammadova, Fatima
dc.contributor.departmentDE--Állam- és Jogtudományi Kar
dc.date.accessioned2025-06-17T08:39:08Z
dc.date.available2025-06-17T08:39:08Z
dc.date.created2025-06-04
dc.description.abstractWriting this thesis has been a challenging but incredible experience. I explored how companies can balance the demands of GDPR compliance with the need for business efficiency in cross-border automated decision-making. The topic pushed me to dive deep into both legal doctrine and the technical realities of AI systems. I tried to go beyond abstract rules and offer practical insights, including a reconciliation framework that businesses can actually apply. What I am most proud of is how I turned a complex regulatory problem into something that is both understandable and actionable. This journey significantly deepened my ability to apply normative legal principles to evolving technological and commercial realities.
dc.description.courseLaw
dc.description.degreeMSc/MA
dc.format.extent40
dc.identifier.urihttps://hdl.handle.net/2437/392157
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectGeneral Data Protection Regulation
dc.subjectData Protection
dc.subjectData Transfers
dc.subjectArticle 22
dc.subjectCross-Border Commerce
dc.subjectAlgorithmic Governance
dc.subject.dspaceLaw
dc.titleAutomated Decision-Making in Cross-Border Commerce: Reconciling GDPR Compliance with Business Efficiency
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