Data Security Governance Dilemmas and Pathways for Resolution in Intelligent and Connected Vehicles: A Focus on Personal Information Data

Intelligent connected vehicles have increasingly replaced traditional vehicles as the future development trend of the automotive industry. During their operation, intelligent connected vehicles generate a large amount of vehicle data. The “Several Provisions on Automotive Data Security Management (Provisional)”classifies these data into two categories: personal information data and important data. Among them, personal information data is closely related to personal interests. Once leaked, it not only poses a threat to our personal privacy security but also causes serious damage to public and national security. With the continuous improvement of the intelligence and connectivity levels of automobiles, while bringing more comfortable and convenient driving and riding experiences to the public, it also exposes data security risks and hidden dangers. Especially in the field of personal information data security governance, intelligent connected vehicles face problems such as ambiguous boundaries of personal data, the difficulty of directly applying the traditional informed consent system to the regulation of personal information data processing in automobiles, and the existence of personal information data security risks in data sharing. These problems pose new challenges to the existing automotive data security governance system. To address these issues, it is necessary to further clarify the boundaries of personal information data in automotive data, make reasonable adjustments to the traditional informed consent system based on the uniqueness of automotive data, and improve the personal information data security guarantee mechanism in data sharing, so as to achieve the improvement of the personal information data security governance system in automotive data.