Enhancing Team Diversity with Generative AI: A Novel Project Management Framework
It addresses team diversity challenges for universities and research institutions, but appears incremental as it adds an AI layer to existing project management processes.
This research tackles the problem of uniform team compositions in academic and research projects by proposing a project management framework that uses GenAI agents to fill gaps in team dynamics based on personality traits, with initial experiments showing improvements in understanding personality traits.
This research-in-progress paper presents a new project management framework that utilises GenAI technology. The framework is designed to address the common challenge of uniform team compositions in academic and research project teams, particularly in universities and research institutions. It does so by integrating sociologically identified patterns of successful team member personalities and roles, using GenAI agents to fill gaps in team dynamics. This approach adds an additional layer of analysis to conventional project management processes by evaluating team members' personalities and roles and employing GenAI agents, fine-tuned on personality datasets, to fill specific team roles. Our initial experiments have shown improvements in the model's ability to understand and process personality traits, suggesting the potential effectiveness of GenAI teammates in real-world project settings. This paper aims to explore the practical application of AI in enhancing team diversity and project management