论文标题
自动驾驶汽车部署的积极信任平衡
Positive Trust Balance for Self-Driving Car Deployment
论文作者
论文摘要
关于何时准备部署自动驾驶汽车的关键决定可能是通过滞后指标数据不足做出的，以提供对可接受的安全结果的高度信心。尽管这种不确定性，但积极的信任平衡方法可以帮助做出负责任的部署决定。通过这种方法，对安全性的合理期望是基于可行数量的测试，严格性，安全文化的结合，并坚定地致力于使用后部署后的操作反馈来进一步降低不确定性。通过降低部署时所必需的信心，以换取在强大的安全性文化的背景下，更严格的安全性能指标（SPI）现场反馈，这可以比更传统的安全方法更快地部署部署。
The crucial decision about when self-driving cars are ready to deploy is likely to be made with insufficient lagging metric data to provide high confidence in an acceptable safety outcome. A Positive Trust Balance approach can help with making a responsible deployment decision despite this uncertainty. With this approach, a reasonable initial expectation of safety is based on a combination of a practicable amount of testing, engineering rigor, safety culture, and a strong commitment to use post-deployment operational feedback to further reduce uncertainty. This can enable faster deployment than would be required by more traditional safety approaches by reducing the confidence necessary at time of deployment in exchange for a more stringent requirement for Safety Performance Indicator (SPI) field feedback in the context of a strong safety culture.
