A generative AI integration tool for managers
Preparing, dealing and thriving with the impact of AI
J. van Veen (TU Delft - Industrial Design Engineering)
M Bos‐De Vos – Mentor (TU Delft - DesIgning Value in Ecosystems)
Eric Heng Gu – Graduation committee member (TU Delft - Creative Processes)
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Abstract
This graduation report presents a comprehensive approach to the identification of an opportunity in the rising technology and interests in generative AI. The report delivers a concept for a tool that is designed for managers. The tool is aimed at aiding in the integration of generative AI within teams. The project is grounded in a literature review, stakeholder interviews, a co-design session with students, a survey with stakeholders and validating. The literature review shows there is an expected rise in interests and demand for using the new technology of generative AI. The interviews with stakeholders shine light on the necessary means that are needed to integrate generative AI in the workplace. Some of these means are: more knowledge, more experience and a starting point. The co-design session brought new perspectives on solutions and opportunities that the tool could incorporate to be successful. The major breakthrough of the co-design session is the implementation of employee interaction. In the value survey it is shown that the managers do not want too much insights in their employee behavior and would prefer a personalized document of advice for implementation. At the end of the development stage the concept is shown to the target audience who give their option on how well it manages to fulfill its purpose. The responses are positive enough that only minor suggestions are given to improve the concept. The final concept tool offers multiple options to achieve the desired solution. Using the profile of the manager and of their employees, the tool provides personalized advice to enhance decision making and awareness of actions. In addition, the tool incorporates employee interaction, enabling team members to unknowingly contribute to the insights that further refine the advice that the manager gets. The tool does not only offer advice, it also offers training and educational components to further provide managers with the skills needed to navigate the fast changing landscape of generative AI integration. The report contributes by collecting and transforming valuable insights and translating that into written output which can be used in the future for development in the generative AI area. The paper also offers a concept for a practical tool designed to prepare, deal and thrive within the generative AI powered workplace. This concept can be used as a reference point for projects that aim to design a similar tool.