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The thesis explores the construction of transparency in automated decision-making (ADM) as a prerequisite for contestation under EU law, focusing on the implications of GDPR and intellectual property laws. It identifies essential transparency requirements and develops a model for contestation, addressing challenges posed by technical complexities and biases in machine learning. The research highlights the need for effective legal frameworks to ensure transparency and contestability in ADM systems, while als

Author

emre bayamlıoğlu

Language

EN