Vorlesungsverzeichnis

Vorlesungsverzeichnis

Suchen Sie hier über ein Suchformular im Vorlesungsverzeichnis der Leuphana.

Start > Leuphana Bachelor (B.A./B.Eng./B.Sc./LL.B.) -> Major Digital Media -> Net Criticism

Lehrveranstaltungen

AI Critique: Understanding and Challenging Artificial Intelligence (Seminar)

Termin:
14-täglich | Donnerstag | 14:00 - 17:30 | 07.04.2025 - 11.07.2025 | HMS 231/232

Inhalt: How do we know what artificial intelligence is — and what it is doing? In this seminar, we will critically examine contemporary AI systems through a series of theoretical, historical, and artistic lenses. Combining close readings, discussions, and interactive exercises, the seminar provides tools to question dominant narratives of AI and reflect on its social, political, and ecological implications. Topics include the genealogy of chatbots, the labor and materials behind AI, issues of bias and discrimination, machine "hallucinations" and AI’s role in a post-truth society. Sessions will mix foundational texts (Turing, Wiener, Arendt) with recent scholarship (Amoore, Chun, Crawford), hands-on activities (e.g., chatbot emulators, bias testing, image generation tools), and creative engagements. Films, games and web-based platform-analysis will supplement our inquiry. This course invites students from cultural studies, media theory, computer science, and beyond to engage with AI not as a neutral tool but as a cultural and epistemological object that shapes—and is shaped by—human societies.

Leuphana Bachelor - Major Digital Media - Net Criticism

The Contested Politics of (Anti)Racism in the Digital Age (Seminar)

Dozent/in: Stephan Scheel

Inhalt: (Anti-)Racism features prominently on the political agenda. In 2019, footballers in England’s Premier League staged a 24h social media boycott to protest against racist abuse on Facebook, Instagram and other platforms against black players. In recent elections, radical right parties like the AfD gained unprecedented support, especially among young voters. One factor that is often invoked to explain this electoral success is the strong social media presence of far-right groups and parties on platforms like TikTok or Instagram. Here, memes that combine racist and nationalist content with humor and irony, are shared, liked and circulated by thousands and at times millions of users. Furthermore, far-right content is increasingly created with AI-tools that can be prompted to generate racist content and images. There are also a growing number of cases, in which racist bias and content are inscribed into decision-making algorithms or the design of user-interfaces. Examples for this ‘automated racism’ include facial recognition systems that show higher error-rates for facial images of people of color, or allegedly race-neutral algorithms used in health-care in the US that effectively discriminate against Black people. What all these examples illustrate is an important feature of (anti-)racism in the digital age: the internet, social media platforms, online games, memes and generative AI all constitute important sites for both racist abuse and discrimination as well as anti-racist struggles and mobilisation. In light of these developments, this course pursues a twofold objective: on the one hand, it engages with phenomena highlighting the increasingly digital dimension of contemporary conjunctures of (anti-)racism. On the other hand, we will revisit some of the core debates and theoretical contributions on how to define, know and combat racism.

Leuphana Bachelor - Major Digital Media - Net Criticism