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Human-Machine Narration:
How Generative Artificial Intelligence Transforms Recreational Storytelling (GAITS)

About GAITS


Under the heading of Human-Machine Narration (HMN), GAITS examines everyday narrative interaction between humans and GenAI, asking how the way we make sense of as well as with stories is transformed in the era of “communicative AI”. Focusing on recreational forms of HMN – unfolded through, e.g., chatting, prompting, creating, telling, and playing with GenAI – the project contributes new knowledge on what people actually use GenAIplatforms for outside pragmatic and professional ends and what relations, values, and challenges users experience through these.

Timeline and funding


Project period: 1/2-2026 to 31/1-2030

The project is funded by DFF - Independent Research Fund Denmark 

Advisory board


  • Professor Alexandra Georgakopoulou (King’s College London, expertise: small stories)
  • Assistant Professor Andrea L. Guzman (Northern Illinois University, expertise: HMC paradigm)
  • Professor Brita Ytre-Arne (University of Bergen, expertise: media use)
  • Professor Jill Walker Rettberg (University of Bergen, expertise: GenAI stories)

Local collaborators


  • TEXT - Center for Contemporary Cultures of Text (director: Professor Mads Rosendahl Thomsen)
  • The Human-AI Collaboration project (PI: Assistant Professor Søren Pold)