Chatbot-Induced Workplace Intervention for Team Inclusion by Leveraging Natural Language Processing Techniques

Emerging technologies like chatbots are employed across multiple domains to support both external and internal stakeholders and impact organizational cultures. In our research, we explore how a chatbot designed for leadership training facilitates actionable insights on inclusion, a core challenge in digital transformation, translating abstract concepts into tangible practices. We designed a chatbot to guide leaders in practicing inclusive behaviors, then tested it with real-world leaders. Using Natural Language Processing (NLP) methods on responses from leaders who interacted with the chatbot, we uncover multi-level discourse on inclusion and examine how these exchanges shape team inclusion climate and, by extension, impact organizational culture, providing data-driven insights into whether and how technology can foster inclusion in teams. Our findings contribute to the growing research by investigating whether “digital” tools like chatbots enable transformative change. Additionally, we redefine the “user” as an active participant in co-creating inclusive cultures. Furthermore, by guiding leaders through structured interaction, our chatbot helps develop concrete, actionable skills that can be applied across different settings to strengthen diversity, equity, and inclusion efforts in organizations. This study bridges the gap between emerging technologies and team inclusion by demonstrating how chatbot applications can be effectively integrated into existing HRM practices, particularly in leadership training and development, to provide systematic, empirically validated support for digital transformation initiatives.

Recommended citation: Singh V and Keplinger K (2025) Chatbot-Induced Workplace Intervention for Team Inclusion by Leveraging Natural Language Processing Techniques. Proceedings of Conference of the itAIS 2025 (Castellanza, Italy).