论文标题

培训新手:人类协作和知识转移的作用

Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer

论文作者

Spitzer, Philipp, Kühl, Niklas, Goutier, Marc

论文摘要

在许多工作环境中,专家知识对于人类必须进行高性能并确保业务成功。这些人具有特定于任务的专家知识(TSEK),因此代表主题专家(SME)。但是,不仅人口统计学变化,而且人员缩减策略的缩减,并将继续导致组织内中小企业的离开,这构成了如何保留该专家知识和培训新手以保持专家知识所带来的竞争优势的挑战。中小企业培训新手是时间和成本密集的,这加剧了对替代方案的需求。 Human-Ai合作(HAIC)为摆脱困境提供了一种方法,促进了保留专家知识的替代方案,并将其教给新手,以完成中小企业事先进行的任务。在本研讨会的论文中,我们(1)提出了一个框架,讲述如何利用HAIC在特定任务上训练新手,(2)通过HAIC说明了在此培训过程中明确和默认知识在此培训过程中的作用,并且(3)概述了初步实验,以评估Heic在Heic中以培训的能力来评估Novek to te Nove的人AI系统的能力,以评估NOVECT的能力。

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.

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