Ringvorlesung: KI in Buchbranche, Literatur und Literaturwissenschaft

Montag, 18 bis 20 Uhr c.t.

Hybrid: On-Site und Online: Schellingstr. 3, S 006

Für Online-Teilnahme externer DH-Gäste: Anmeldung bitte an j.schroeter@lmu.de

Gefördert durch die Münchner Universitätsgesellschaft (mug)

Unterstützt durch den AI-HUB@LMU

Hinweise zur Veranstaltung im Rahmen der Studiengänge am Zentrum für Buchwissenschaft: https://www.zfb.uni-muenchen.de/aktuelles/ringvorlesung_sose26/index.html

Zugang zum Zoom-Raum:

https://lmu-munich.zoom-x.de/j/65369395048?pwd=Q2xuPyIXNlradfDao2RbC1cZBnaDcL.1

Meeting-ID: 653 6939 5048
Kenncode: 556008

Programm

20.4. Einführung (Julian Schröter, Erika Thomalla)

27.4. KI und Lektorat (Katja Krause, Textmanufaktur)

4.5. KI und Metadatenoptimierung (Tobias Streitferdt, Holtzbrinck) [online]

11.5. AI as Cultural Technology (Ted Underwood, University of Illinois Urbana-Champaign)

Abstract: Unease about generative AI emerges, in part, from recognition that the technology hasn’t taken the form that the word “intelligence” once led us to expect. Language models didn't begin by imitating human individuals, but by imitating genres, rhetorical templates, and other collective patterns of behavior. They are in other words, to borrow Alison Gopnik’s term, a “cultural technology.” This talk explores the implications that flow from viewing generative AI, not as a failed attempt to create autonomous robots, but as a new mode of cultural transmission. I’ll focus especially on the risks and opportunities for academic disciplines that study culture, but also cast an eye on broader concerns implied by this view of AI.

About the speaker: https://www.cas.lmu.de/en/people-at-cas/details/ted-underwood-6ee3cbc5.html

8.5. Surface Reading LLMs: Synthetische Texte und ihre Stile (Hannes Bajohr, University of California, Berkeley, CA) [Online]

1.6. Rechtliches rund um generative KI (Susanne Barwick, Börsenverein)

8.6. Liquid Content - Agentic AI und wie wir künftig Inhalte erstellen, dirstribuieren und konsumieren (Andy Grimm, Chaptr, Berlin)

15.6. When Engineers Tell Tales: Reading AI Story Generation Evaluation through the Humanities (Andrew Piper, McGill Montreal) [online]

Abstract: What happens when machines learn to tell stories—and engineers decide what makes them good? In this talk, I will examine how recent AI research defines and measures narrative success. Through the development of evaluation “benchmarks,” these projects encode assumptions about creativity and meaning. Drawing on literary and humanistic theories of narrative, I explore how we might rethink AI storytelling by bringing literary critical perspectives into the process of design and evaluation.
About the speaker: Andrew Piper is Professor of Languages, Literatures, and Cultures at McGill University, where he directs .txtlab, a leading laboratory for cultural analytics, and the MA in Digital Humanities. His research uses AI to better understand the nature of human storytelling, combining computational and literary methods to explore how narratives work. His most recent book, Why you should read more fiction: What Data and AI can tell us about the value of storytelling will be out this Fall with Johns Hopkins UP.

22.6. KI in der Übersetzung (Cornelius Reiber, Übersetzer)

29.6. KI im Selfpublishing (Tom Schmidt, Nomad Publishing)

6.7. Textanalyse mit KI (Rabea Kleymann, TU Chemnitz)