Registration ends 07.4.2026 at 23:59 h

Artificial intelligence is fundamentally reshaping how individuals work, learn, and interact within society. The rapid diffusion of AI (e.g., chatbots, generative AI, AI agents or multi-agent systems) creates both opportunities and challenges that require academic research. This seminar examines the integration of AI into work and society.

The seminar provides an overview across three thematic blocks. The first part introduces conceptual foundations for human-AI interaction, including trust, fairness, bias, and accountability. The second part covers methodological approaches for studying human-AI interaction, drawing on qualitative methods from the social sciences (interviews, group discussions, observational methods) as well as methods from design thinking and psychology. The third part discusses the requirements and challenges for responsible AI development and adoption across application domains such as the workplace and public life.

Examples of topics:
• Human-AI collaboration in the workplace: Applying Self-determination theory (autonomy, competence, relatedness)
• Psychological and societal consequences of AI adoption (e.g., well-being, digital stress)
• AI-based content moderation: Fairness, transparency, and user experience

Students work in pairs (in exceptional cases groups of three) to apply a method on a topic of their choice. Several topic proposals will be presented at the beginning of the seminar. Course requirements include a mid-term and a final presentation and a written seminar paper.

Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html