Summary:
This research examines the intersection of artificial intelligence (AI), big data analytics, and algorithmic decision-making, with a particular emphasis on their impact on border security and migration management. The use of AI and big data is rapidly transforming various sectors, while their integration into migration processes is presented as holding the promise of enhanced efficiency, accuracy, and fairness. However, these technologies present significant ethical, legal, and social challenges. This research examines the potential and pitfalls of these technologies in migration and asylum processes, focusing on their effectiveness, transparency, and impact on human rights. Through an extensive literature review and detailed case studies of the European iBorderCtrl project, FRONTEX, and Canada's AI-driven immigration initiatives, this thesis addresses critical questions about the responsible use of AI in sensitive contexts. The findings highlight the need for robust frameworks to ensure the ethical deployment of AI and big data, balancing innovation with the protection of individual rights. The research concludes with policy recommendations to guide the integration of AI in migration systems, emphasizing transparency, accountability, and international collaboration.
Keywords:
Artificial Intelligence, Big Data, Borders, Migration Management, Algorithmic Decision-Making
