Free Electives

Modul CS3208-KP04

Responsible Use of Generative AI (GENAI)


1 Semester
Turnus of offer:

each winter semester
Credit points:

Course of studies, specific field and terms:
  • Bachelor Interdisciplinary Courses for health sciences (optional subject), interdisciplinary competence, Arbitrary semester
  • Master Interdisciplinary Courses (optional subject), interdisciplinary competence, Arbitrary semester
  • Bachelor Interdisciplinary Courses (optional subject), interdisciplinary competence, Arbitrary semester
Classes and lectures:
  • CS3208-V: Responsible Use of Generative AI (lecture, 2 SWS)
  • CS3208-P: Responsible Use of Generative AI (not for medical students) (project work, 1 SWS)
  • 30 Hours in-classroom work
  • 45 Hours work on project
  • 45 Hours private studies
Contents of teaching:
  • Introduction - An overview of tools, possibilities and discourses on generative AI
  • Fundamentals of Technology 1 - Basic Modes of Operation
  • Fundamentals of Technology 2 - Adaptation to Social Norms
  • Application basics - How to proceed when using generative AI?
  • Psychological implications - effects on experience, motivation and skills in the workplace
  • Use cases 1 - General productivity and scientific writing
  • Use cases 2 - Research
  • Use cases 3 - Training
  • Use cases 4 - Medicine
  • AI and security - The risks of AI in safety-critical applications
  • Legal and Ethical Aspects - Intellectual Property, Privacy and Societal Challenges
  • Sustainability - Environmental Costs
  • The future - outlook on future possibilities and limitations
  • Students will be able to explain the basic functioning and technology of generative AI in general content production.
  • Students recognise the ethical and societal challenges of generative AI technologies and can formulate these concretely and precisely.
  • Students are able to critically evaluate the impact of generative AI on their tasks.
  • Students are able to use the potential of generative AI responsibly and reflectively in their studies and future work.
  • The students know the basic legal framework around generative AI applications.
  • Students are aware of the social and environmental implications of generative AI applications.
Grading through:
  • continuous, successful participation in course
  • presentation
  • project work
Responsible for this module:
  • : Various further literature from science and journalism
  • German or English

Admission requirements for taking the module:
- None

Admission requirements for participation in module examination(s):
- None

CS3208-L1: Responsible Use of Generative AI, successful submission and presentation of a semester-long project, 100% of the (non existent) module grade


- Mon 10:00 - 12:00, Seminar room Mathematics 1 (Hilbert)

- Mon 12:00 - 14:00, Seminar room Mathematics 2 (Banach)

Letzte Änderung: