The rapid adoption of artificial intelligence (AI) has significantly transformed various sectors, such as healthcare, finance, and transportation. However, it also raises critical challenges regarding data privacy, particularly in large-scale data collection and processing. This study explores the differences and similarities in data privacy regulations governing AI between Europe and Asia, focusing on the General Data Protection Regulation (GDPR) in Europe and various regulations such as the Act on the Protection of Personal Information (APPI) in Japan and the Personal Information Protection Law (PIPL) in China. Using a qualitative approach with comparative legal analysis, this research evaluates the principles, flexibility, and practical implications of these regulations for fostering responsible AI development. The findings reveal that while GDPR emphasizes individual protection through transparency and explicit consent, Asia adopts a more flexible approach tailored to national needs, balancing innovation and privacy. However, challenges such as harmonizing cross-border data policies and adapting regulations to rapidly evolving technologies persist. This study contributes to the discourse by highlighting the implications of these regulatory differences for global cooperation and offering strategic recommendations for policymakers and industries. In a globalized digital landscape, aligning legal frameworks is essential not only to protect individual rights but also to build public trust in emerging AI technologies.

Protecting personal data has become increasingly critical in the digital era, especially in Indonesia, where data breaches remain a pressing issue. Blockchain technology has emerged as a potential solution due to its decentralization and enhanced security mechanisms. This study aims to analyze the legal aspects of implementing blockchain technology for personal data protection in Indonesia, focusing on its effectiveness and alignment with existing regulations. A qualitative methodology was employed, including case studies in the fintech and healthcare sectors, supported by normative legal analysis. The findings indicate that blockchain significantly improves data security, with companies reporting a notable decrease in data breaches after adoption. Mechanisms such as hashing and decentralization ensure data integrity and reduce unauthorized access. However, regulatory gaps and high implementation costs hinder widespread adoption. The Personal Data Protection Law (UU PDP) in Indonesia does not yet address the unique characteristics of blockchain, creating legal ambiguities. This study highlights the need for regulatory updates and suggests targeted incentives to encourage adoption. The research contributes to theoretical understanding by integrating legal analysis with blockchain implementation and offers practical recommendations for policymakers. Future studies should explore cross-sectoral applications and comparative analyses with countries successfully adopting blockchain.