NarrAItion: Symposium on AI and narrative
One day symposium at CDN in collaboration with colleagues from Berkeley.
This one-day symposium allows participants and guests to share current research on narrative and LLMs. The project team will also have internal meetings 2-3 June to workshop entries for the Living Glossary of Digital Narrative (external link), and develop the project further.
09:00-09:30: Preamble
- Berkeley/Bergen meet-and-greet - coffee and buns at CDN (Langes gate 1-3)
- Walk over Sydneshaugen Skole where the main symposium will be held (Sydnesplassen 9)
09:30-09:45: Welcome
(Auditorium D - ground floor, Sydneshaugen Skole)
- Welcome to UiB and intro to the NarrAItion project by co-PIs Hanna-Riikka Roine, Jill Walker Rettberg and Hannes Bajohr
09:45-10:30: Hannes Bajohr
- Hannes Bajohr: Worlds in LLMs and the Novel
10:30-10:45 Break
10:45-12:00: Wolfgang Hottner, Hanna-Riikka Roine, Scott Rettberg
- Wolfgang Hottner: Closings and endings in AI-generated stories
- Hanna-Riikka Roine: “YES! YES! I absolutely love this insight!” Affirmative Narration as Interactional Strategy in Dialogues with LLM Chatbots
- Scott Rettberg: Considering Generative AI Narrative as a Dialogic Genre: the Human Function in AI-driven Multimodal Storytelling
12:00-13:15 Lunch for speakers and invited guests
13:15-14:30: Gabriele de Seta, Roberto Simanowski, AI STORIES team
- Gabriele de Seta: Temperature as creativity
- Roberto Simanowski (FU Berlin): AI as Author; or, The new message of the medium
- AI STORIES team: Speed run of the AI STORIES project: how LLMs tell stories
14:30-15:00: Break
15:00-15:45 Daniella Gáti: AI's anti-queer knowledge project
In this talk, Daniella presents their book project in progress, which examines how AI algorithms across the spectrum of generative, classification, recommendation and prediction models create a new, but not entirely unfamiliar knowledge project whose principles and ways of working are profoundly anti-queer. Drawing on queer epistemology, Daniella identifies three main avenues through which AI builds anti-queer knowledges: categories, automating away scientific hesitation/reflection, and speaking for (if not necessarily about) objects of knowledge. Ultimately, the AI episteme is an imperial and instrumentalizing one, which serves a larger extractivist project of domination.