Course Schedule

Veranstaltungen von Dr. (DPhil) Robert Samuel Hughes Rapoport


Lehrveranstaltungen

Metabolizing the Generative Turn (Seminar)

Dozent/in: Robert Samuel Hughes Rapoport

Termin:
14-täglich | Freitag | 14:15 - 17:45 | 23.10.2023 - 02.02.2024 | C 40.162 Seminarraum

Inhalt: Generative AI asks numerous epistemic questions of cultural production. Humans seem to have difficulty understanding exponential curves and yet this is precisely what the humanities must now contend with. The emergent capabilities of large language models like GPT-4 (i.e., ones not specifically authored by their creators) mean that we face an inflection point. As this field is so dynamic we will be taking a case study approach– looking at the micro in an attempt to grasp the macro. We will ask what it means to train a generative model on Rembrandt's entire oeuvre. What can be gained from completing Schubert's "unfinished" symphony using generative models? What will it mean for models to understand human perception on a level that we ourselves do not? Is the generative turn a step change in what Galison called the "black boxing of the self" (1994)? How have scholarly methods sought to assimilate or resist synthetic media? The syllabus will draw on precedents in artificial intelligence in an attempt to ground the current hype cycle. We will however attempt to discuss new issues as they inevitably emerge during the semester. We will spread our inquiry across culture and governance as well as the public and private sectors. What new methods are required of scholars to form a coherent response to the 'generative turn'? This goes beyond what has to date been known as the ‘digital humanities’.

Cultural Organizations and the Generative Turn-- New Work/Old Masters (Seminar)

Dozent/in: Robert Samuel Hughes Rapoport

Termin:
14-täglich | Donnerstag | 14:15 - 17:45 | 26.10.2023 - 02.02.2024 | C 40.162 Seminarraum

Inhalt: This course is for all students interested in Generative AI. We will begin by bringing everyone to a baseline understanding of GenAI including the risks and benefits it poses to organizations. In the 20th-century state-funded institutions had a central role in conferring the status of “art”. Museums, theaters, art biennials and funding bodies have all had to formulate a coherent response to the arrival of Generative AI and in doing so pose renewed questions to the institutional theory of art and the “artworld” (Danto, 1964). How can institutions this emerging space? What is the role of institutional critique? Intellectual property? Which initiatives have succeeded and which have failed? We will take a case study approach, looking at a wide range of cultural institutions. Finally, we will ask the generative turn might mean for the university itself. What does deep learning ask of educators and students? What are the questions that are hiding in plain sight?

Research Methods for Digital Media Studies - Stream A (Seminar)

Dozent/in: Lisa Conrad, Robert Samuel Hughes Rapoport

Termin:
wöchentlich | Mittwoch | 09:45 - 13:15 | 06.12.2023 - 31.01.2024 | HMS 139 | am 6.12.: 211/215 danach 139

Inhalt: Building on Leuphana Semester’s foregoing general introduction into research methods, this course offers further insights into those methods that are crucial to studying digital media. In each session of the seminar, we will focus on one method (cf. course plan). There will be micro-exercises allowing students to gain an understanding of a method via the experience of performing it. Further, for each method we will read and discuss exemplary research papers.

Research Methods for Digital Media Studies - Stream B (Seminar)

Dozent/in: Lisa Conrad, Robert Samuel Hughes Rapoport

Termin:
wöchentlich | Mittwoch | 14:00 - 17:30 | 06.12.2023 - 31.01.2024 | HMS 139 | am 6.12. anderer Raum: HMS 211/215

Inhalt: Building on Leuphana Semester’s foregoing general introduction into research methods, this course offers further insights into those methods that are crucial to studying digital media. In each session of the seminar, we will focus on one method (cf. course plan). There will be micro-exercises allowing students to gain an understanding of a method via the experience of performing it. Further, for each method we will read and discuss exemplary research papers.