Kurs Critical AI
Course Description
This workshop will explore critical perspectives on Artificial Intelligence (AI) and Data Science from the arts and humanities and examine how these perspectives can inform technical development in these fields. AI systems and data infrastructures are often assumed to be neutral and universal, yet they embed cultural assumptions, historical biases, and epistemological frameworks that shape their outputs and societal and cultural impact. By engaging with critical theory, artistic research and interdisciplinary discussions, participants will analyze the ways in which AI constructs knowledge and how alternative perspectives can contribute to a more reflexive AI design.
Key questions addressed in the workshop include:
• What assumptions and values are embedded in AI systems and data?
• What do these assumptions reveal about the epistemology of AI?
• What can artistic encounters with AI reveal about the inner workings of Machine Learning (ML) algorithms and data?
• And how can artistic research and humanities-based critiques inform AI development?
Course Format
The workshop will blend theoretical inquiry, practical experiments, and creative ideation, guiding participants to critically examine AI systems and their implications through interdisciplinary lenses.
Infos:
Voraussetzungen:
This workshop is designed for IT practitioners, students and researchers interested in integrating critical perspectives into AI and Data Science. It is accessible to participants from a variety of disciplines and backgrounds. No prior knowledge is required for participation.
Geschlossene Veranstaltung
Nur für die angemeldeten Teilnehmerinnen