XAI: Explainable Artificial Intelligence


This AI co-design studio is part of a research project funded by alignAI and Marie Skłodowska-Curie Actions, and will be held at the LS Design Lab, at Marsstraße 20, 80335 München.
Please contact xiaoyuw.wang@tum.de with any questions.


In this studio, we invite young people to bring creativity and turn complex AI knowledge into tangible tools. In an inspired and creative design space, participants will:
- Learn about AI explainability, transparency, and how AI systems work
- Brainstorm tangible solutions with various materials to help others understand AI knowledge
- Involve the design and evaluation of tangible toolkits that can support understanding AI systems
- Enhance creative and problem-solving skills


Together, we'll learn the underlying mechanisms of AI functions such as image generation and dataset construction, explore how tangible materials can reveal the “black box” inside AI systems, and design toolkits to explain the knowledge to the world. No previous experience is required.


This AI co-design studio will be led by facilitators from the Technische Universität München's LS Design team and the LS Design Lab.


The AI co-design studio will be held in English.


The AI co-design studio is part of the alignAI project (https://alignai.eu) at the Technical University of Munich.


Who can join? Young people aged 10-15
Duration per session: 2 hours / once a week
Number of sessions: 10
Planned dates: Weekly sessions from February to April, 2026


[IMPORTANT!!!] To schedule the date and time for the co-design studio from February to April in 2026. Please click on this When2Meet link (https://www.when2meet.com/?33977914-Vg6pf) to enter your Full Name and select your available out-of-school time from Monday to Friday (ignore the dates shown on the table).

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I agree that my personal data will be processed within the framework of receiving information about the event by the Technical University of Munich, here by Xiaoyu Wang. This includes in particular the use for the management of registrations, and contacting registrants and send further information. Only the researchers have access to the personal data.

You can revoke your consent at any time for the future without affecting the legality of the processing carried out on the basis of the consent until the revocation on the basis of Art. 6 (1) (a) GDPR. After your revocation, for example. no participation in the event. Please send your revocation to xiaoyuw.wang@tum.de.

Under the legal conditions, there is a right to information, as well as to rectification or deletion or to restriction of processing or a right to object to the processing as well as the right to data portability. There is also a right of appeal to the Bavarian State Commissioner for Data Protection. If you have any questions, please contact xiaoyuw.wang@tum.de or our data protection officer.

Learning Sciences and Educational Design Technologies

Technische Universität München

Xiaoyu Wang
Marsstraße 20, 80335 Munich


Phone: +49 (89) 289 - 24373
xiaoyuw.wang@tum.de


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