Challenges and Implications of AI in Digital Security
Sun Yiwei, Wenyunjin Zhang, Zexin Cai · Advances in Economics Management and Political Sciences · 2024
This article explores the challenges and implications of integrating artificial intelligence (AI) into digital security within the context of the rapidly evolving digital economy. It highlights the significance of data security in the digital age, particularly in cross-border data flows, and the need for effective policies to ensure safe and orderly data exchange. The study employs various methods, including technical evaluation of blockchain technology's potential in addressing data security challenges, and analyzes the impact of data protection standards on the European digital economy. The results emphasize the critical role of blockchain in decentralized data control, shedding light on the complexities of regulating data processors in a highly open and decentralized environment. The article also delves into the complexities of international cooperation in cross-border data regulation, suggesting the need for global international legal norms to harmonize data governance legislation. In conclusion, the article advocates for the integration of blockchain technology as a crucial component of a global cross-border data security system, offering technical innovation in tandem with legal frameworks. It underscores the importance of actively participating in the development of global data regulation standards to ensure data security in an interconnected digital world.