Wissensdynamik und Nachhaltigkeit in den Technikwissenschaften

29th of April - 3rd of May 2024

on-boarding: 27th of March or 12th of April 2024
consultation hour: 15th of May - 26 of June 2024
project presentation: 3rd of July 2024

info session: 13th of March @ 1pm on zoom

**** for MA & MSc & PhD students ****


Innovative. Experimental. Interdisciplinary.

  • How does Replika challenges and changes social relationships?
  • Can happify health really improve your mental states?
  • What is ChatGPT's impact on knowledge management?

Let us decode values, assumptions and stereotypes that are backed into AI artefacts by (re)coding them together and let us examine their impact on us, others and the world we live in via qualitative self-experiments.


Course Information

The module “Ethics of AI” takes an innovative and experimental approach to ethics with an interdisciplinary focus enabled by collaboration between the Computer Science, Engineering Science and Philosophy of Technology departments. It involves engaging with the theoretical and practical approaches that address the intersection of ethics and technology, in this case AI. You will learn to critically assess the relationship between technology and society and to analyze the interactions between technology and society from an ethical perspective. Furthermore, you will deal with the deconstruction of the concept of neutrality of technology and learn to critically assess it. The environment will be taken as a stakeholder in its own right in order to consider the impact of technological applications from a sustainability perspective. The module will provide you with the necessary theoretical foundations stemming from both computer science (in particular AI and digital technologies) and ethics. This knowledge will be put into practice and deepened through case-based projects carried out in interdisciplinary groups. The projects will address the current challenges encountered through the use of AI technologies in different fields of application (e.g. social relationships), as well as discuss different implementations and possible avenues of research that could enable the development of ethically acceptable AI systems. You and your project group will prepare a presentation of your project as well as a scientific poster.

**The course does not require prior knowledge or programming skills.


Course Timeline

Teaching staff

Prof. Dr. Sabine Ammon

Prof. Dr. Christoph Benzmüller

Dr. Martin Aleksandrov

Rosae Martin

Rahel Moser

Veronika Solopova

Prof. Dr. Andrea Vestrucci

Contact person: Rahel Moser (j.moser@tu-berlin.de)

**Further teaching staff will be announced.


Register by the 10th of March 2024 by sending a mail to Rahel Moser: j.moser@tu-berlin.de

The regestration mail should include your university affiliation, study programme and full name.

Practical Information


You can use any booking platform.
The hostel closest to the Hybrid Laboratory is Johns Hostel.



To Berlin

You can reach Berlin via plane (BER) or via train (e.g., to Berlin Hauptbahnhof). Be aware that ENHANCE will provide you with an extra financial support if you are travelling by train or bus.

To the Hybrid Laboratory

Public transport connections:

The main campus enjoys excellent public transport connections.
It can be reached by metro (Ernst-Reuter-Platz), S-Bahn (Zoologischer Garten and Tiergarten) and bus (Ernst-Reuter-Platz).
Hauptbahnhof, Berlin's largest mainline railway station, is just two stops away by S-Bahn and the famous Zoo station with its mainline as well as S-Bahn and metro services a mere one stop.