借助值得信赖的AI实现面向工业4.0的数字化工程转型：新兴范式转变
Digital Engineering Transformation with Trustworthy AI towards Industry 4.0: Emerging Paradigm Shifts
摘要：
数字工程转型是第四次工业革命（4IR）中工程范式转变的关键过程，人工智能（AI）是数字工程转型的关键使能技术。本文讨论了以下研究问题：第四次信息检索的根本变化是什么？更具体地说，工程学的根本变化是什么？什么是数字化工程？主要的不确定性是什么？什么是可信的AI？为什么它在今天很重要？4IR中出现的工程范式转变是什么？数据密集型范式与数字工程转型之间的关系是什么？我们应该为数字化做些什么？本文通过对工业革命模式的考察，认为无处不在的机器智能（uMI）是第四次工业革命带来的决定性力量。数字化是利用无处不在的机器智能的条件。面向工业4.0的数字化工程转型有三个基本组成部分：工程数字化、利用无处不在的机器智能以及建立数字信任和安全。整个工程设计界正面临着一个绝佳的机会，将无处不在的机器智能和值得信赖的人工智能原则以及数字信任的新功能结合到各种工程系统设计中，以确保工业4.0中系统的可信度。
英文摘要：
Digital engineering transformation is a crucial process for the engineering paradigm shifts in the fourth industrial revolution (4IR), and artificial intelligence (AI) is a critical enabling technology in digital engineering transformation. This article discusses the following research questions: What are the fundamental changes in the 4IR? More specifically, what are the fundamental changes in engineering? What is digital engineering? What are the main uncertainties there? What is trustworthy AI? Why is it important today? What are emerging engineering paradigm shifts in the 4IR? What is the relationship between the data-intensive paradigm and digital engineering transformation? What should we do for digitalization? From investigating the pattern of industrial revolutions, this article argues that ubiquitous machine intelligence (uMI) is the defining power brought by the 4IR. Digitalization is a condition to leverage ubiquitous machine intelligence. Digital engineering transformation towards Industry 4.0 has three essential building blocks: digitalization of engineering, leveraging ubiquitous machine intelligence, and building digital trust and security. The engineering design community at large is facing an excellent opportunity to bring the new capabilities of ubiquitous machine intelligence and trustworthy AI principles, as well as digital trust, together in various engineering systems design to ensure the trustworthiness of systems in Industry 4.0.
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。
