Begleitseminar zum Studienprojekt: Data Ethics Outreach Lab

Dozenten

Beschreibung

In this Study project for CogSci Master Students we critically explore the risks and societal implications of networked digital services to develop strategies and formats for public awareness raising. Investigating various phenomena ranging from addictive interface design of social media, and targeted advertising to AI Beauty Filters, in our previous work we have organized school lessons at high schools, facilitated workshops for various audiences, designed games and websites and curated an event at Kunsthalle Osnabrück.

As of the summer term 2024, our study project pursues the special focus on "Predicted Futures". Under this title we investigate how big-data-driven technologies are shaping – and perhaps predetermining – the future.

The following questions guide us on this investigation: How are big-data-driven technologies applied to predict our behaviour, interests, emotions, desires or health? In which way do they actually path the way into a predetermined future, creating a self-fulfilling prophecy? What are the politics behind the urge and the application of predictive analytics that make it seem as an acceptable way of solving the polycrises of today? And how are common narratives of tech-determinism and tech-solutionism prefiguring our understanding of possible futures? What could alternative, inclusive and sustainable futures look like? And what role would AI play in it?

We are excited to embark on this journey in collaboration with Theater Osnabrück, Kunsthalle Osnabrück, Museum für Industriekultur and various regional schools. As a cornerstone of the project, we aim to encourage an intergenerational dialogue on desirable tech-futures. Based on the theater play "(R)Evolution" we work with high-school students and engage them into a conversation about the realities of AI and their visions for the future.

Participation opportunities
We are inviting both Study project (2 Semesters, 12 ECTS each), as well as Interdisciplinary course (1 Semester, 6 ECTS) participants to join us. Interdisciplinary participants will work on a project of smaller scope.

Participation requirements
- Prior knowledge in the field of data ethics. Completion of the lecture "Intro to Ethics of AI" or similar lectures/seminars. (See the preregistration form for more info).
- On site participation, Tuesdays 2–5 pm
- Due to the close collaboration with local cultural institutions this semester, sufficient German skills (~B2) are necessary.

Weitere Angaben

Veranstaltungsart: Seminar (Offizielle Lehrveranstaltungen)
Veranstaltungsnummer: 8.3104
Ort: nicht angegeben
Zeiten: Di. 14:00 - 17:00 (wöchentlich)
Erster Termin: Dienstag, 29.10.2024 14:00 - 17:00

Studienbereiche

• Cognitive Science > Master-Programm
• Human Sciences (e.g. Cognitive Science, Psychology)