一句话：提出用可信生成式AI贯穿关键信息物理系统全生命周期的软件工程愿景与研发议程。
本文关注生成式人工智能被引入安全攸关、软件密集型信息物理系统（CPS）开发后带来的机遇与风险。作者综合软件工程、人工智能、AI伦理与社会维度，探讨如何以安全、透明且以人类价值为中心的方式利用这类技术。论文的贡献包括：面向未来可信安全攸关CPS的软件工程愿景，指导在生成式AI影响下的系统构建；批判性分析三项既有认证原则如何被用来缓解生成式AI采纳所引发的社会与技术张力；并提出研究与实践的议程，以确保未来CPS的开发与运维循环在系统（硬件与软件）和社会两个层面都保持可信。
One of the most transformative developments today is the integration of generative artificial intelligence into the development of critical software-intensive cyber-physical systems. From autonomous vehicles to industrial robotics, these systems are entering a new era shaped by artificial intelligence-driven development and automation. In this paper, we consider software engineering, artificial intelligence, artificial intelligence ethics, and social aspects, to explore how such technologies can be harnessed safely, transparently, and with human values at the center. Our contributions include a vision for software engineering, guiding the engineering of future trustworthy safety-critical cyber-physical systems under the influence of generative artificial intelligence. We critically analyze how three established certification principles can be leveraged to cope with the societal and technical tensions introduced by generative artificial intelligence adoption, and propose a research and practice agenda to ensure that future cyber-physical systems development and operations cycle remain trustworthy, both from a system (hardware and software) and from a societal perspective.
@inproceedings{paperbot11988,
title = {Engineering Future Critical CPSs with Trustworthy GenAI Across the Lifecycle},
author = {Alessio Bucaioni and Antonio Cicchetti and Gordana Dodig Crnkovic and Romina Spalazzese and Emma Söderberg and Dániel Varró},
booktitle = {ICSE},
year = {2026},
doi = {10.1145/3786581.3786936}
}