论文标题
迈向启用AI的界面描述模板
Towards an Interface Description Template for AI-enabled Systems
论文作者
论文摘要
重用是一种常见的系统体系结构方法，旨在实例化具有现有组件的系统体系结构。但是，重复使用AI功能的组件可能会引入新的风险，因为目前没有框架指导选择必要信息以评估其在与最初目的的系统不同的系统中运行的可移植性。我们从SW密集型系统中知道，AI算法通常是脆弱的，并且对上下文和边界条件的变化意外行事。我们在本文中提出的问题是，在启用AI的系统或组件的接口控制文档（ICD）中应捕获哪些类型的信息，以评估其与最初未设计的系统的兼容性。我们介绍了建立接口描述模板的持续工作，该模板捕获了启用AI支持组件的主要信息，以促进其在不同的系统和操作环境中的充分再利用。我们的工作灵感来自Google的模型卡概念，该概念的开发具有相同的目标，但专注于AI算法的可重复性。我们扩展了该概念，以解决启用AI支持的网络物理系统的系统级自治功能。
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.
