This year’s theme is „Trustworthy AI: Building Safe and Reliable Solutions“, and we have a fantastic line-up of speakers who will be sharing their insights on reinforcement learning, the social and ethical impact of Artificial Intelligence, with a special focus on sustainability, and causal inference in Machine Learning.

The Data-NInJA Spring School is aimed at PhD students, master students and interested researchers from the broad area of Artificial Intelligence and Machine Learning. At this event, participants will learn about latest trends and developments in trustworthy AI from leading experts in the field. Confirmed speakers include
·       Prof. Virgina Dignum (Umeå University, Sweden)
·       Prof. Ann Nowé (Vrije Universiteit Brussel, Belgium)
·       Prof. Christian Igel (University of Copenhagen, Denmark)
·       Dr. Martin Riedmiller (Google DeepMind)
·       Prof. Jonas Peters (University of Copenhagen, Denmark)

Lectures will be complemented by tutorial style talks, geared towards providing hands-on experience and application or transfer of methods to own tasks and problems.
In addition, participants will have the opportunity to showcase their own work in a virtual poster session. This is a wonderful chance for students, researchers, and practitioners to share their ideas, get feedback, and network with others in the field. We strongly encourage all attendees to consider presenting a poster (submission deadline: April 14th, 00.00 CET). The best poster will be awarded the 2023 Data-NInJA Poster Prize!