AI-Edu:Stage Zurich

In Zurich, the stage of ETH and Switzerland Innovation Park Zurich will focus on the application of artificial intelligence to support university teaching: specific tools and platforms, techniques and technologies, structures and infrastructures. Participants can look forward to a lively exchange on this next step in the digitalization of teaching and learning. The AI Edu:Stage in Zurich will take place on Wednesday, May 14, 2025.

Please note: The programme of the face-to-face event in Zurich will be mainly in German.

In Zurich, the stage of ETH will focus on the application of artificial intelligence to support university teaching: specific tools and platforms, techniques and technologies, structures and infrastructures.

Dates: The program starts on 14 May at 09:00 and ends around 17:00.

Location: Innovation Park Zurich, Wangenstrasse 68, 8600 Duebendorf, Switzerland.

Keynotes
Stage programme
Interactive programme
On-Demand

Keynotes (selection)

Kate Maxwell
General Manager of Worldwide Education Industry at Microsoft

Mrinmaya Sachan
Assistant Professor of Computer Science at ETH Zurich

Alireza Darvishy
ZHAW, Professor of Computer Science with specialization in ICT accessibility

Stage programme

All stage program highlights of the AI-Edu:Stage Zurich and on-site workshops can be found in our programme overview.

Interactive programme

AI Mirror – How would you imagine yourself?
It is already possible to generate any images from a prompt in real time using artificial neural networks. But what would it be like to enter these generated images yourself? By linking them to a depth image, we create the AI Mirror. With the interactive installation, we want to playfully show the possibilities and limits of this new field, as well as provide insights into the inner workings of AI through visualizations and thus encourage reflection and exchange.
– Martin Reckziegel

Comparative Assessment – Markov modeling with robotic instruments
The installation explores the creative interaction between man and machine. Mechatronic instruments react to inputs from the audience, which are further developed with the help of Markov models and neural networks. The result is a dialog that reveals artistic synergies between human intuition and machine precision. The project questions authorship, control and the creative potential of algorithms.
– Tobias Euler

The AI Cooking Studio: Create individualized learning games with ChatGPT and Co.
Welcome to the AI cooking studio! I will bring along the ingredients for a good learning game using LLMs such as ChatGPT, and the participants can “cook” their own learning game on this basis. At the end, the “recipe card” can be taken home and developed further there.
– Jennifer Fritz

Evening programme

In Zurich, there will be a get-together in the evening after the event.

On-Demand

Videos from the AI-Edu:Stage Zurich can be found after the U:FF 25 on the YouTube channel of the Hochschulforum Digitalisierung.

The presence stage in Zurich is organized by ETH Zurich.