Semiotic Machines: Artificial Text and the Praxis of Reading
Recent discussions about the significance of generative AI technologies, and particularly of Large Language Models like ChatGPT, have tended to revolve around the question of how the new language-generating machines relate to traditionally human-centered categories like cognition, reasoning, and consciousness. This conference will instead take its point of departure from the observation that what these machines actually produce is text. Their activity is therefore inherently semiotic, both at the level of its material-technological conditions (the LLMs are trained on the world’s largest database of social signs) and at the level of its reception by us, the general public of linguistically-capable users. The conference will explore the consequences of this perspectival switch towards semiotics—from questions about the general nature of the organic-mechanical interface to questions about the particular structures of the social sign systems within which this interface is embedded—for our contemporary understanding of text as a linguistic and possibly literary object. It asks about what the new reality of semiotic machines does to inherited definitions of textual artefacts and established reading practices, but also about how humanists, as text-trained scholars, might be uniquely poised to contribute to the analysis of our text-driven present. Areas to be explored include the literary and technological history of artificial text production, intersections of computing technologies and theories of signification, theories and practices of LLM poetics, and the social and political implications of automated writing.
Fig. above: Neural network parameters, visualization generated with Midjourney
Program
Wednesday, 29 May 2024
6.30 pm
Round Table
- Artificial Intelligence and the Human Sciences
Presenters: M. Beatrice Fazi (University of Sussex), Lisa Gitelman (New York University), Naja Grundtmann and Kathrin Maurer (Syddansk Universitet)
Chair: Leif Weatherby (New York University)
Thursday, 30 May 2024
9.30 am
Tobias Wilke (ZfL): Introduction. Semiotic Machines and Artificial Text: Some Notes on Their History
Session 1
Chair: Tobias Wilke (ZfL)
- 10.00 am
Robert Mitchell (Duke University): Sign Readers, Textual Expertise, and Learning in the Age of AI - 11.30 am
Sarah Pourciau (Duke University/ZfL): The Language of Deep Computing
Session 2
Chair: Sarah Pourciau (Duke University/ZfL)
- 2.00 pm
Mercedes Bunz (King’s College London): “Words May Lie Yet Still Tell the Truth When the Rules Are Followed” - 3.00 pm
Leif Weatherby (New York University): Transformers are Large Literary Machines
4.30 pm
Keynote
- Melanie Mitchell (Santa Fe Institute): Can AI Understand the World?
Response: M. Beatrice Fazi (University of Sussex)
Friday, 31 May 2024
Session 3
Chair: Alexandra Heimes (ZfL)
- 10.30 am
Hans-Christian von Herrmann (Technische Universität Berlin): Unreadability or How the Machines Took Literary Theory Seriously - 12.00 pm
Hanna Hamel (ZfL): Longing for Literature: Aesthetics of Postdigital Writing
Session 4
Chair: Katrin Trüstedt (ZfL)
- 2.00 pm
Seb Franklin (King’s College London): Ulysses (Human) Gramophone - 3.00 pm
Matt Handelman (Michigan State University): Context and Ideology in LLMs - 4.30 pm
Jeffrey Kirkwood (Binghamton University): The Revenge of Humanism