Responsible AI - Detailseite

This seminar critically examine its dangers of the current technological hype around AI and how they can be tackled. We will explore how Machine Learning (ML) models, which constitute the core of modern AI, can be developed and deployed as a productive, inclusive technology that genuinely benefits people and communities. Students will choose a topic to form groups, which will both introduce the problems and present possible solutions at the end of the semester. We encourage interdisciplinary work. Exemplary topics are Bias in ML, environmental impact of Large Language Models, hallucination in chatbots, data privacy and security, and transparency and explainability in decision support.

The langauge will be mixed German / English; students can chose their language of choice.

Vertiefungsschwerpunkt: Daten- und Wissensmanagement