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Unfolding the Potential of Generative Artificial Intelligence: Design Principles for Chatbots in Academic Teaching and Research

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  • Severin Bonnet

    (Osnabrück University, Germany)

  • Frank Teuteberg

    (Osnabrück University, Germany)

Abstract

Scholars are increasingly using generative artificial intelligence (AI) chatbots, like ChatGPT, in research, though concerns remain about ethics, data privacy, bias, and intellectual property. This study adopts a design science research approach to explore how generative AI chatbots can support academic teaching and research, bridging theory and practice. A literature review and expert interviews identified key requirements and design principles that support virtues such as uniqueness, generalizability, and reproducibility. We also introduce a prototype, “AcademiaBot,” to demonstrate these principles in action. Our findings suggest that AI chatbots can significantly aid scholarly work if users are informed and ethical concerns are addressed. Responsible usage can help AI augment human research efforts without compromising integrity. This study provides valuable design knowledge, ensuring AI-based chatbots remain a beneficial tool for scholars.

Suggested Citation

  • Severin Bonnet & Frank Teuteberg, 2025. "Unfolding the Potential of Generative Artificial Intelligence: Design Principles for Chatbots in Academic Teaching and Research," International Journal of Knowledge Management (IJKM), IGI Global, vol. 21(1), pages 1-25, January.
    • Handle: RePEc:igg:jkm000:v:21:y:2025:i:1:p:1-25
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