Analyzing Inefficiencies in Current Cross-Border Data Transfer Laws

This paper examines the current legal framework governing cross-border data transfers, focusing on key regulations such as the GDPR, DPA, and other relevant legal instruments. It explores the dynamic nature of data transfer, driven by evolving digital and business needs, including data usage for AI research and training, software-shared data, and the extensive data collection practices of companies like WorldCoin. The analysis also considers how long data is stored beyond its primary purpose. Critical factors such as time, purpose, duration, type, and licensing are pivotal to this research. Finally, the paper proposes recommendations for improving legal efficiencies and highlights existing frameworks that could be adapted to strengthen data transfer regulations.