August 29 - September 02, 2022, Delft, NL
The summer school for explainable AI deals with interpretability and explainability of AI and machine learning models.
XAISS will take place at TU Delft in the Netherlands from August 29th to September 2nd, 2022.
Computer science students (bachelor, master or PhD) in the field of AI and machine learning are welcome.
August 23rd, 2022
The schedule has been updated.
August 22nd, 2022
We have sent a mail to all registered participants regarding logistics of the summer school. If you have not received this mail, please let us know.
August 8th, 2022
The registration deadline has been extended to August 16th, 2022.
July 18th, 2022
We offer a limited number of student grants (to cover only the registration fees) for students who come from developing countries and from underrepresented groups. Please send us a mail if you identify yourself in this bracket and do not have the funding to cover your participation. We will ask you to fill in a form and go through a selection process due to limited spots. The deadline for these applications is July 31st, 2022.
July 15th, 2022
The tentative schedule is now available!
June 15th, 2022
The registration is now open! The registration deadline is August 7th, 2022.
June 14th, 2022
We have special offers for booking hotel rooms. Please refer to the FAQ for details.
XAISS aims to cover some of the most important topics in explainable AI (e.g. post-hoc interpretability in ML, interpretable representation learning in language and vision tasks, counterfactuals, human-centric explainability and others) and their applications in important subject areas (e.g. language, vision, search and recommendation systems). This summer school will involve both lectures and hands-on activities. The lectures and tutorials will be taught by leading international experts in the area of explainable AI from both academia and the industry. All the materials, content and code will be accessible to all participants with focus being placed on reducing the entry barrier to Explainable AI topics. The school will also cover a wide variety of talks that will explore societal implications of explainable AI on society for a more nuanced and holistic treatment of the topic.
The program will include a stellar line up for socials to foster networking and a great school experience like quizzes, city-tour, barbeques and even a pub crawl. Participants will be encouraged to (optionally) present their work at poster sessions during the school and to interact with our speakers and experts and with each other during the coffee breaks throughout the week.
The target audience will consist primarily of Master and Doctoral students, academics and practitioners from all around the world. The school will be advertised with a public call and participants will be selected on the basis of merit and to promote diversity. We aim to have attendees with the requisite technical background and some understanding and practical experience of machine learning.
All lectures and tutorials will be held in English.
The summer school is planned to be exclusively in person.
Yes! Please send us a mail requesting a support letter.
Yes! With a successful completion, including participation in the hackathon, you can earn up to 4 ECTS credits.
The registration fee is 400€ including VAT (19%).
The registration fee does cover:
The registration fee does not cover:
There are some special offers for XAISS participants:
Important: These offers will expire after June 24th.
Don't hesitate to contact us!
Bosch Corporate Research
Leibniz University Hannover
University of Tübingen
University of Stavanger
Amazon Search Science and AI
Full Professor of Explainable AI
Mihaela van der Schaar
John Humphrey Plummer Professor of Machine Learning, AI and Medicine
University of Cambridge, The Alan Turing Institute
Leibniz University Hannover
The registration is closed.