Inhalte/ Contents

This tutorial explores how students can help shape the ethical and inclusive use of AI in universities. Artificial Intelligence is shaping higher education, influencing teaching, administration, and research. While AI-driven tools enhance efficiency, they also raise concerns about fairness, transparency, and data privacy. This tutorial explores how students can help shape the ethical and inclusive use of AI in universities. Participants engage in research-driven learning using qualitative and quantitative methods. Possible outcomes include literature reviews, case studies, surveys, interviews, podcasts, prototypes, or policy recommendations. Closely connected to key stakeholders through the Hochschulforum Digitalisierung, the tutorial provides access to experts, policymakers, and institutions working on AI integration. Students from all disciplines are welcome to contribute diverse perspectives.

Fachliche:r Betreuer:in/ Supervisor

Prof. Dr. med. Stefan Gutwinski 

Kontakt/ Contatct

kiana.nafarieh@charite.de

Link zum Vorlesungsverzeichnis/ Link to the course catalogue

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