自动驾驶算法安全法律规制的现状、挑战与应对

Current Status, Challenges, and Responses to Legal Regulation of Autonomous Driving Algorithmic Safety

自动驾驶汽车的发展已经进入瓶颈期,更多企业开始转变以传统硬件为核心的观念,开始发展可以实现自动驾驶功能的算法系统。自动驾驶的算法安全问题也成为了自动驾驶汽车商业化过程中必须面对和解决的难题,这其中包括技术、网络和伦理三方面的自动驾驶算法安全问题。因此,需要对传统以人类驾驶员为核心的立法和监管框架进行变革,构建一个以自动驾驶算法为核心的安全框架,形成一个包含自动驾驶算法技术安全、网络安全和伦理安全的安全标准。新的框架应当注意平衡算法的安全性和创新性,保持技术的中立,努力推进自动驾驶汽车迈向商业化应用。

The development of self-driving cars has entered a bottleneck, and more companies have begun to change the concept of traditional hardware as the core, and have begun to develop algorithmic systems that can realize the function of autonomous driving. The algorithmic safety of autonomous driving has also become a difficult problem that must be faced and solved in the process of commercialization of autonomous driving cars, which includes the safety of autonomous driving algo-rithms in the three aspects of technology, network and ethics. Therefore, it is necessary to make changes to the traditional legislative and regulatory framework centered on human drivers, to construct a safety framework centered on autonomous driving algorithms, and to form a safety standard that encompasses the technical safety of autonomous driving algorithms, cyber safety, and ethical safety. The new framework should pay attention to balancing the safety and innovation of algorithms, maintaining technology neutrality, and striving to advance self-driving cars towards commercialized applications.