构建更安全的自主航空系统
Architecting Safer Autonomous Aviation Systems
摘要：
航空文献给从业者的指导相对较少，关于安全系统架构的细节，特别是架构对分配安全要求的影响，或系统或子系统级架构选择导致的系统保证的相对容易性。作为一个例子，本文考虑了传统航空系统中使用的常见架构模式，并探讨了在集成人工智能（AI）和基于机器学习（ML）的功能的背景下应用时，其安全性和安全保证的影响。考虑到安全性作为一个建筑属性，我们讨论了安全需求的分配和设计生命周期早期涉及的建筑权衡。这种方法可以扩展到其他有保证的属性，类似于安全性，例如安全性。最后，我们讨论了在最近的文献中提出的候选架构模式的背景下出现的安全考虑因素，这些模式通过集成AI和ML来实现自治功能。提出了一个建议的属性驱动的架构模式目录的生成。
英文摘要：
The aviation literature gives relatively little guidance to practitioners about the specifics of architecting systems for safety, particularly the impact of architecture on allocating safety requirements, or the relative ease of system assurance resulting from system or subsystem level architectural choices. As an exemplar, this paper considers common architectural patterns used within traditional aviation systems and explores their safety and safety assurance implications when applied in the context of integrating artificial intelligence (AI) and machine learning (ML) based functionality. Considering safety as an architectural property, we discuss both the allocation of safety requirements and the architectural trade-offs involved early in the design lifecycle. This approach could be extended to other assured properties, similar to safety, such as security. We conclude with a discussion of the safety considerations that emerge in the context of candidate architectural patterns that have been proposed in the recent literature for enabling autonomy capabilities by integrating AI and ML. A recommendation is made for the generation of a property-driven architectural pattern catalogue.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
