Reflections on Building an Artificial Intelligence Bot to Prepare Students to Engage in Strategic Conversations During Foresight Fieldwork

Rui Pedro Gonçalves, Matthew J. Spaniol, Nicholas J. Rowland, Niels Gorm Malý Rytter
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Abstract

This paper is primarily based on experientially derived insights about building a bot with artificial intelligence (AI)–in this case, chat generative pre-trained transformer (ChatGPT)–to prepare students to engage in strategic conversations during foresight fieldwork. The motivation of the exploratory process outlined in this paper is the pedagogical concern of sending students into the field sufficiently prepared to meet the expectations of external stakeholders. The authors explore a in-class prompt engineering exercise to create a “chief operating bot” (COB) to simulate a C-suite executive. The student-faculty team input hand-selected, industry-specific, company-generated documentation, and, after asking ChatGPT to “roleplay” the COO, the student queries this COB in an exploratory fashion embedded in a contained, consequence-free learning environment. The audience for this paper is faculty responsible for overseeing student engagement experiences like fieldwork, as well as department heads and school deans looking to promote new tools and advance novel applications of AI in their units. The authors explore ways to enhance student readiness for scenario fieldwork based on an exercise drawn from van der Heijden's clairvoyant question, which we refer to colloquially as the “crystal ball thought experiment.” The authors, upon reflection, conclude that the COB can valuably supplement–but not fully replace–face-to-face interactions with a COO. Broadly, leveraging AI to create interactive tools like COBs has the potential to transform business education by bridging academic preparation with real-world demands, enhancing student readiness, advancing AI-assisted curricula, and contributing to strategic planning and regional development.

Abstract Image

构建人工智能机器人帮助学生在前瞻实地考察中进行战略对话的思考
本文主要基于基于经验得出的关于使用人工智能(AI)构建机器人的见解-在本例中,聊天生成预训练转换器(ChatGPT) -为学生在前瞻性实地考察期间参与战略对话做好准备。本文概述的探索过程的动机是将学生送到该领域充分准备以满足外部利益相关者的期望的教学关注。作者探索了一个课堂上的快速工程练习,以创建一个“首席运营机器人”(COB)来模拟c级高管。学生-教师团队输入手工选择的、特定于行业的、公司生成的文档,并且,在要求ChatGPT“角色扮演”首席运营官之后,学生以一种探索性的方式在一个包含的、无后果的学习环境中查询这个首席运营官。本文的读者是负责监督学生参与体验(如实地考察)的教师,以及希望在其单位推广新工具和推进人工智能新应用的系主任和院长。作者根据范德海登的透视问题(我们通俗地称之为“水晶球思想实验”)中的一个练习,探索了提高学生对情景实地考察的准备程度的方法。经过反思,作者得出结论,COB可以有价值地补充——但不能完全取代——与COO面对面的互动。从广义上讲,利用人工智能创建cob等互动工具有可能通过将学术准备与现实需求联系起来,提高学生的准备程度,推进人工智能辅助课程,并为战略规划和区域发展做出贡献,从而改变商业教育。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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