两种技术图式不兼容:智能驾驶的人机冲突与风险分配困境

Two Incompatible Technical Schemas: The Human-Machine Conflict and the Risk Allocation Dilemma in Automated Driving

  • 摘要: L2级高级驾驶辅助系统(ADAS)催生出一系列难以预防和规制的新型风险。问题的根源在于人机系统的“人设”矛盾:常规运行域内,人被视为不可靠的“监控者”;一旦遭遇紧急情况,人又被要求扮演可靠的“后备保障”。本文认为,矛盾的“人设”来自传统汽车的“感官−运动闭环图式”与新兴的“控制论−算法图式”这两种技术图式的不兼容。上述因素会造成驾驶的认知错位与技能退化,并将风险转化为权责不一的“分配困境”。因此,智能驾驶未来的发展方向应从追求功能边界的扩张转向构建人机协同新范式,以实现真正的权责统一。

     

    Abstract: Level 2 Advanced Driver-Assistance Systems (ADAS) have given rise to a series of new risks that are difficult to prevent and attribute. The root of the problem lies in the contradictory “persona” of the human within the human-machine system: within the routine operational domain, the human is regarded as an unreliable “monitor”; once an emergency is encountered, the human is expected to act as a reliable “backup”. This paper argues that this contradictory “persona” stems from the incompatibility of two technical schemata: the “sensory-motor feedback loop schema” of traditional vehicles and the emerging “cybernetic-algorithmic schema”. These factors lead to cognitive misalignment and skill degradation for the driver, transforming risks into an “allocation dilemma” characterized by a mismatch of authority and responsibility. Therefore, the future development of automated driving should shift from pursuing the expansion of functional boundaries to constructing a new paradigm of human-machine collaboration, in order to achieve a true alignment of authority and responsibility.

     

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