可信赖的自主系统（TAS）：让TAS专家参与课程设计
Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design
摘要：
人工智能的最新进展，特别是机器学习，为增强自主系统行业做出了积极贡献，同时引入了社会，技术，法律和道德挑战，使其值得信赖。虽然可信自治系统（TAS）是一个已经建立和不断发展的研究方向，已经在多个学科中进行了讨论，例如，人工智能、人机交互、法律和心理学。TAS对教育课程和未来TAS工程师所需技能的影响很少在文献中讨论。这项研究汇集了一些TAS领先的专家的集体见解，以突出的重大挑战，课程设计和潜在的TAS所需的技能所带来的TAS的快速出现。我们的分析不仅对TAS教育界感兴趣，而且对其他研究人员也感兴趣，因为它提供了指导未来研究的方法，以实现TAS教育。
英文摘要：
Recent advances in artificial intelligence, specifically machine learning, contributed positively to enhancing the autonomous systems industry, along with introducing social, technical, legal and ethical challenges to make them trustworthy. Although Trustworthy Autonomous Systems (TAS) is an established and growing research direction that has been discussed in multiple disciplines, e.g., Artificial Intelligence, Human-Computer Interaction, Law, and Psychology. The impact of TAS on education curricula and required skills for future TAS engineers has rarely been discussed in the literature. This study brings together the collective insights from a number of TAS leading experts to highlight significant challenges for curriculum design and potential TAS required skills posed by the rapid emergence of TAS. Our analysis is of interest not only to the TAS education community but also to other researchers, as it offers ways to guide future research toward operationalising TAS education.
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。
