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

Semester Herbstsemester 2026
Angebotsmuster unregelmässig
Dozierende Ryan Healey (ryan.healey@unibas.ch, BeurteilerIn)
Inhalt 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.
Lernziele 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.
Literatur All assigned readings will be made available during the course.

 

Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall Wochentag Zeit Raum
wöchentlich Mittwoch 14.15-16.00 Kollegienhaus, Seminarraum 103

Einzeltermine

Datum Zeit Raum
Mittwoch 16.09.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 23.09.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 30.09.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 07.10.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 14.10.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 21.10.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 28.10.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 04.11.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 11.11.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 18.11.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 25.11.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 02.12.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 09.12.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Mittwoch 16.12.2026 14.15-16.00 Uhr Kollegienhaus, Seminarraum 103
Module Doktorat Digital Humanities: Empfehlungen (Promotionsfach: Digital Humanities)
Modul: Digital Humanities, Culture and Society (Master Studienfach: Digital Humanities)
Modul: Kulturtechniken MA (Master Studienfach: Medienwissenschaft)
Modul: Praktiken (Master Studiengang: Kulturtechniken)
Prüfung Lehrveranst.-begleitend
An-/Abmeldung zur Prüfung Anmelden: Belegen; Abmelden: nicht erforderlich
Wiederholungsprüfung keine Wiederholungsprüfung
Skala Pass / Fail
Belegen bei Nichtbestehen beliebig wiederholbar
Zuständige Fakultät Philosophisch-Historische Fakultät, studadmin-philhist@unibas.ch
Anbietende Organisationseinheit Digital Humanities Lab

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