Enhancing Team Diversity with Generative AI: A Novel Project Management Framework

TL;DR

This paper proposes a novel project management framework that uses Generative AI to enhance team diversity by analyzing personality traits and filling team role gaps, aiming to improve team composition.

Contribution

It introduces a new framework integrating sociological personality patterns with GenAI agents to improve team diversity and dynamics in research projects.

Findings

Initial experiments show improved understanding of personality traits by the model.

GenAI agents can potentially fill specific team roles effectively.

The framework enhances traditional project management with AI-driven team composition analysis.

Abstract

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