  Across a multitude of work environments, expert knowledge is imperative for
humans to conduct tasks with high performance and ensure business success.
These humans possess task-specific expert knowledge (TSEK) and hence, represent
subject matter experts (SMEs). However, not only demographic changes but also
personnel downsizing strategies lead and will continue to lead to departures of
SMEs within organizations, which constitutes the challenge of how to retain
that expert knowledge and train novices to keep the competitive advantage
elicited by that expert knowledge. SMEs training novices is time- and
cost-intensive, which intensifies the need for alternatives. Human-AI
collaboration (HAIC) poses a way out of this dilemma, facilitating alternatives
to preserve expert knowledge and teach it to novices for tasks conducted by
SMEs beforehand. In this workshop paper, we (1) propose a framework on how HAIC
can be utilized to train novices on particular tasks, (2) illustrate the role
of explicit and tacit knowledge in this training process via HAIC, and (3)
outline a preliminary experiment design to assess the ability of AI systems in
HAIC to act as a trainer to transfer TSEK to novices who do not possess prior
TSEK.
