面向人工智能系统的接口描述模板
Towards an Interface Description Template for AI-enabled Systems
摘要：
重用是一种常见的系统架构方法，它试图用现有组件实例化系统架构。然而，重用具有AI功能的组件可能会带来新的风险，因为目前没有框架来指导选择必要的信息，以评估它们在与组件最初目的不同的系统中运行的可移植性。我们从软件密集型系统中了解到，人工智能算法通常很脆弱，并且会对上下文和边界条件的变化表现出意想不到的行为。我们在本文中解决的问题是，在支持AI的系统或组件的接口控制文档（ICD）中应该捕获什么类型的信息，以评估其与最初未设计的系统的兼容性。我们目前正在进行的工作是建立一个接口描述模板，该模板可以捕获支持AI的组件的主要信息，以促进其在不同系统和操作环境中的充分重用。我们的工作受到Google Model Card概念的启发，该概念是以相同的目标开发的，但专注于AI算法的可重用性。我们扩展了这一概念，以解决支持AI的网络物理系统的系统级自治能力。
英文摘要：
Reuse is a common system architecture approach that seeks to instantiate a system architecture with existing components. However, reusing components with AI capabilities might introduce new risks as there is currently no framework that guides the selection of necessary information to assess their portability to operate in a system different than the one for which the component was originally purposed. We know from SW-intensive systems that AI algorithms are generally fragile and behave unexpectedly to changes in context and boundary conditions. The question we address in this paper is, what type of information should be captured in the Interface Control Document (ICD) of an AI-enabled system or component to assess its compatibility with a system for which it was not designed originally. We present ongoing work on establishing an interface description template that captures the main information of an AI-enabled component to facilitate its adequate reuse across different systems and operational contexts. Our work is inspired by Google's Model Card concept, which was developed with the same goal but focused on the reusability of AI algorithms. We extend that concept to address system-level autonomy capabilities of AI-enabled cyber-physical systems.
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。
