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智能网联汽车数据安全治理困境及解决路径——以个人信息数据为视角

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

Progress in Social Sciences / 2025,7(5): 436-441 / 2025-06-10 10 6

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• Authors: 向丽雅 周蜜
• Information:

  上海政法学院，上海

• Keywords:
  Intelligent and connected vehicles (ICVs); Personal information data; Data security; Data governance; Personal data
  智能网联汽车; 个人信息数据; 数据安全; 数据治理; 个人数据
• Abstract: 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. 智能网联汽车已日益取代了传统汽车成为汽车产业未来的发展趋势，智能网联汽车在运行过程中会产生大量汽车数据，《汽车数据安全管理若干规定(试行)》将这些数据分为个人信息数据和重要数据两类，其中，个人信息数据与人身利益紧密相关，一旦泄露，不仅会对我们的个人隐私安全造成威胁，甚至会对公共安全和国家安全造成严重损害。随着汽车智能化和网联化水平的不断提升，在给大众带来更舒适、便利驾乘体验的同时，也暴露出数据安全风险隐患，尤其是在个人信息数据安全治理领域，智能网联汽车面临着个人数据边界模糊、传统知情同意制度难以直接应用于汽车个人信息数据处理规制、数据共享中存在个人信息数据安全风险等问题，这些问题对现有的汽车数据安全治理制度体系提出了新挑战。为应对这些问题，需要进一步厘清汽车数据中个人信息数据的界限，根据汽车数据的独特性对传统知情同意制度进行合理调整，并完善数据共享中个人信息数据安全保障机制，从而实现对汽车数据中个人信息数据安全治理体系的完善。
• DOI: https://doi.org/10.35534/pss.0705075
• Cite: 向丽雅，周蜜．智能网联汽车数据安全治理困境及解决路径——以个人信息数据为视角［J］．社会科学进展，2025，7（5）：436-441.