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Teaching: University

Course offers for critically reflecting on intelligent systems
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What we offer

Reflection for all

Whether students, teachers, researchers, or employees - critical reflection on intelligent systems concerns everyone. Therefore, here you will find many different offers to initiate and enable this reflection and to cover individual needs. Continuous exchange - in various forms - is also a crucial component for critical reflection and change. 

Offerings include, but are not limited to, events, lectures, seminars, workshops, conferences, and more. We are very pleased that there are already some interdisciplinary opportunities in the different subjects, which can be found under the corresponding tabs. 

If you know of any other events (or if you are leading one yourself), we would be very happy to hear about them and to get into a conversation about them.

Have fun discovering the exciting offers - and several good impulses for reflecting on intelligent systems and their implications for society.


CRISS (Critical Reflection of Intelligent Systems in Society) is an online based self-learning course, available for any- and everyone interested to learn more about unconscious biases, stereotypes and how this might affect you and your work. 

CRISS combines five units on critical reflection and can be integrated into lectures or seminars. The focus is for participants to deal with unconscious bias and its impact on themselves, their work and the effects on society.

Module: Understanding Unconscious Bias and Stereotypes

Module: Managing your Unconscious Biases

Module: Practicing Self-Reflection

Module: Understanding Critical Thinking

Module: Applying Critical Thinking



CRISS has already been integrated in the following study programs:

  • M.Sc. Simulation Technology (mandatory)
  • M.Sc. Artificial Intelligence and Data Science (elective)
  • AISA

AI & Data in EDU

The seminar "AI and Data in Education: An Ethical Reflection" critically addresses perspectives and challenges of AI-based systems in education by evaluating case studies and existing technologies. It focuses particularly on related ethical considerations and also introduces relevant legal frameworks. The goal of the seminar is to equip future education and training professionals as well as system designers with the skills and mindset to engage in an informed and reflective use of AI in education.

The course is part of the following study programs:

  • M.Ed. Educational Sciences (elective)
  • B.A. Computer Science Education (elective)
  • B.Sc. Data Science (elective)

Reflection units

We also offer individual units related to critical reflection, which can be integrated into existing study or training programs.

With this, we are part of the following programs:

  • B.A. Teaching Degree Educational Sciences (Lecture "Psychological Foundations of Teaching and Learning")
  • B.A. Vocational and Technical Education (Lecture "Psychological Foundations of Teaching and Learning")
  • B.Sc. Simulation Techology (lecture)
  • Ph.D. Simulation Technology (GS seminar, summer school)


Existing course offers

Several study programs already include courses related to critically reflecting on science, intelligent systems, and society. For more information, please see the course catalog.

Key Qualifications

Please inquire whether the course you are interested in (e.g. an offered FÜSQ) can be credited in your degree program.


If you are interested in a slightly different format for reflecting on intelligent systems, you are sure to find it here:


This image shows Tabea Berberena

Tabea Berberena


Scientific Coordinator of the Teaching and Learning Forum RISING | PhD Student in the SC SimTech focusing on trust in intelligent systems

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