Join us at Aarhus University for an experimental Creative Writing with AI workshop, where you'll explore how generative AI can transform your approach to storytelling. Dive into AI-driven tools and see how your stories unfold in new ways, helping you uncover patterns and fill narrative gaps you might not have noticed. This space allows writers, thinkers, and creatives to experiment with AI's potential, engage in unexpected interactions, and challenge conventional ideas about creativity and writing.

Open to everyone—whether you’re an experienced writer or a novice, this workshop is designed for those curious about how technology can enhance the writing process. You’ll engage in exercises that play with words and structure, experiment with AI suggestions, and be creative in a collaborative, thought-provoking environment. And don't worry—you won't need to share your work unless you want to!

Refreshments: Food and coffee are provided!

If you have any questions, don’t hesitate to contact Yuri Bizzoni at yuri.bizzoni@cc.au.dk

About us

Yuri Bizzoni is a postdoctoral researcher at the Center for Humanities Computing, specialising in computational literary analysis. His work focuses on integrating deep neural networks with literary studies, mainly through the Fabula-NET project. Bizzoni investigates sentiment analysis, emotion arcs, and the computational assessment of literary quality, using advanced tools to explore how technology can deepen our understanding of literature.

Pascale Feldkamp Moreira is a research assistant at the Center for Humanities Computing at Aarhus University. She specialises in computational literary studies, focusing on computational approaches to stylistics and literary creativity. Her work often explores how computational tools can analyse and interpret literary stylistic elements.

Ida Bang Hansen is a research assistant at the Center for Educational Development at Aarhus University. In her master’s thesis, she explored how generative AI tools affect creative writing. Through thematic analysis of interviews, surveys, and experiments, her findings show that AI can reduce cognitive load, speed up writing, and improve creative workflows.

Thea Sofie Skjødt Engstrøm is a PhD fellow at the Department of Educational Anthropology at Aarhus University. Her research explores how AI disrupts teaching practices in Denmark, focusing on the creative and experimental strategies educators develop to manage new human-machine dynamics. She also studies the practices of algorithmic artists to gain insights into evolving creative educational methods.