Assessing the adequacy of the EU Trade Secrets Directive in protecting AI-Driven Business Algorithms.

A tétel rövid nézete
dc.contributor.advisorTamás, Fézer
dc.contributor.authorDey, Shubagata
dc.contributor.departmentDE--Állam- és Jogtudományi Kar
dc.date.accessioned2026-01-10T09:14:48Z
dc.date.available2026-01-10T09:14:48Z
dc.date.created2026-01-05
dc.description.abstractThis thesis assesses whether the EU Trade Secrets Directive adequately protects AI-driven business algorithms. It argues that trade secret law was designed for static information and struggles to accommodate self-learning, constantly evolving AI systems. The difficulty of identifying, proving, and enforcing misappropriation of dynamic algorithms significantly weakens legal protection in practice. The analysis further explores the growing tension between trade secret protection and emerging EU legislation, notably the AI Act and the Data Act, which prioritize transparency and access to information. These overlapping regimes create legal uncertainty for companies relying on proprietary AI models. The thesis concludes that without clearer rules and a balanced legal framework, innovation incentives in the EU risk being undermined.
dc.description.courseEuropean and International Bunisess Law
dc.description.degreeegységes, osztatlan
dc.format.extent41
dc.identifier.urihttps://hdl.handle.net/2437/401890
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectTrade Secrets
dc.subjectTrade Secrets Directive
dc.subjectAI-driven business algorithms
dc.subjectIntellectual Property
dc.subject.dspaceLaw
dc.titleAssessing the adequacy of the EU Trade Secrets Directive in protecting AI-Driven Business Algorithms.
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