Investigation of the Application of Personal Information Processing Rules in Intelligent Connected Vehicles

Since the United Kingdom and the European Union jointly developed a Driver Drowsiness and Attention Warning system in 2021, the privacy of the interior space of Intelligent Connected Vehicles has been reduced due to safety requirements in the car, increase or decrease due to the need for rescue positioning and accident verification in emergencies. ICV has become a typical product of deep integration, integrated application of traditional industry, AI, and information communication technology, and the transformation of vehicles into intelligent mobile terminals. However, massive information transmission involving multiple systems means that once an information security accident occurs in an Intelligent Networked Vehicle, it will seriously impact property, personal safety, and even national security. At the same time, personal information at a specific stage is continuously collected for calculation and analysis to improve intelligent networked vehicles' driving safety and intelligence. This process brings three risk patterns: data processing, technical compliance, and unclear specifications. These risks are formed in the critical links of information processing. Two significant problems are challenging to deal with existing regulations and difficult for enterprises to implement compliance construction, leading to the dilemma of personal information regulation in intelligently networked no vehicles. Especially on December 20, 2022, the Chinese smart electric vehicle Nio started being blackmailed by hackers, indicating a great risk of data theft by automobile companies. Attention should be paid to how to protect data. It must be more coordinated between laws, regulations, and technical standards. A systematic supporting system needs to be formed to ensure the vitality of industrial development. Starting from the two-dimensional perspective of technology and law, this paper proposes a solution path of system Coordination, regulatory sandbox, and industrial autonomy by sorting out the contradictions between norms and technical processing to get rid of the existing dilemma of insufficient protection, insufficient regulation, and insufficient utilization, and realize industrial collaboration between personal information and internal.