  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.
