论文标题
值得信赖的自主系统（TAS）：吸引TAS专家参与课程设计
Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design
论文作者
论文摘要
人工智能，特别是机器学习的最新进展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，以使其值得信赖。尽管值得信赖的自主系统（TAS）是一个建立且不断增长的研究方向，已在多个学科中进行了讨论，例如人工智能，人类计算机互动，法律和心理学。文献中很少讨论TA对教育课程的影响和未来TAS工程师所需的技能。这项研究汇集了来自许多TA的主要专家的集体见解，以突出课程设计和潜在的TAS所需技能的重大挑战。我们的分析不仅对TAS教育社区，而且对其他研究人员都感兴趣，因为它提供了指导未来研究的TAS教育研究的方法。
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.
