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79800-01 - Seminar: Artificial Intelligence and the History of Writing (3 CP)

Semester fall semester 2026
Course frequency Irregular
Lecturers Ryan Healey (ryan.healey@unibas.ch, Assessor)
Content This course situates artificial intelligence within the longer history of writing, understood not as a neutral medium but as a technology that has always shaped what can be thought, who can think it, and how knowledge is produced and circulated. From the early novel's invention of techniques for simulating consciousness to the transformer architectures that now generate plausible language without a familiar model of authorship, writing and computation share a deep entanglement. An idea that continues to gain momentum is the argument of “text as the universal interface,” a super-domain of language that can orchestrate all other domains in AI systems (image, sound, etc.). To situate this history where computation and writing collide in the present, we read eighteenth-century philosophy and fiction (Locke, Hume, Haywood, Goethe) alongside foundational texts in the theory of computation (Turing, Babbage, Wiener, Leibniz) and recent work on machine learning (situated in current debates in linguistics, structuralism, and philosophy) asking what it means that the most powerful AI systems are, at bottom, writing machines. No prior background in computation or literary theory is required.
Learning objectives This course aims to develop a critical and historically grounded understanding of artificial intelligence as a problem in the long history of writing. Students will learn to think about writing not as a transparent medium but as a technology with its own material conditions, formal constraints, and epistemological consequences, one that has always been entangled with questions of computation, abstraction, and the modeling of minds. We will examine how the novel emerged as a powerful machine for simulating interiority and how that project relates to the computational systems that now generate language at scale without anything resembling understanding. Students will engage with Enlightenment philosophy, theories of the novel, the history of mechanical and digital computation, and contemporary debates about machine learning, building toward the capacity to analyze AI not as a rupture in the history of writing but as its latest and most important chapter. By the end of the course, students will be equipped to read literary and computational texts together, to interrogate the cultural and philosophical assumptions embedded in technical systems, and to articulate what is at stake when the production of language is delegated to machines.
Bibliography All assigned readings will be made available during the course.

 

Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Wednesday 14.15-16.00 Kollegienhaus, Seminarraum 103

Dates

Date Time Room
Wednesday 16.09.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 23.09.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 30.09.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 07.10.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 14.10.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 21.10.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 28.10.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 04.11.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 11.11.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 18.11.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 25.11.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 02.12.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 09.12.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Wednesday 16.12.2026 14.15-16.00 Kollegienhaus, Seminarraum 103
Modules Doktorat Digital Humanities: Empfehlungen (PhD subject: Digital Humanities)
Modul: Digital Humanities, Culture and Society (Master's degree subject: Digital Humanities)
Modul: Kulturtechniken MA (Master's degree subject: Media Studies)
Modul: Praktiken (Master's degree program: Cultural Techniques)
Assessment format continuous assessment
Assessment registration/deregistration Reg.: course registration; dereg.: not required
Repeat examination no repeat examination
Scale Pass / Fail
Repeated registration as often as necessary
Responsible faculty Faculty of Humanities and Social Sciences, studadmin-philhist@unibas.ch
Offered by Digital Humanities Lab

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