2026 Berlin Summer School of Artificial Intelligence and Society
Responsible design of AI-driven autonomous systems
Location: Berlin, Germany
Dates: 14 - 17 September 2026
Application by 30 June 2026
The 2026 Berlin Summer School on Artificial Intelligence and Society invites researchers and practitioners to explore the parameters which have to be considered when AI systems are designed to act autonomously. The programme will focus on fundamental questions at the interface between autonomous systems, trustworthy machine learning, and robotics, as well as deployment in critical areas such as healthcare and autonomous biotechnology. We will cover technical approaches, e.g. how to integrate robustness, verifiability, explainability, security and good data governance into system architectures from the start.
Beyond the technical aspects, we will examine these challenges from the perspective of digitalization research, incorporating ethical and societal perspectives, and encouraging participants to situate their work within a broader framework of organizational and political governance and values. Join us this summer in Berlin’s vibrant research and innovation ecosystem to network, collaborate and help shape the future of responsible AI!
The curriculum addresses pressing challenges in building robust, transparent and secure AI systems, with a particular focus on their application in critical and socially sensitive domains. Beyond theoretical discussions, you'll gain insights into practical tools and methodologies essential for responsible AI research. The Summer School offers valuable insights, skills, and connections needed to design AI-driven autonomous systems responsibly.
The Summer School will be a 3.5-day event. It is designed for doctoral and postdoctoral researchers from the Weizenbaum Institute, the Learning and Intelligent Systems research lab, the network of German Centres of Excellence for AI (BIFOLD, DFKI, Lamarr, MCML, ScaDSAI, and TUEAI), and from other universities and research institutes, who are passionate about machine learning, data management, robotics, and the impact of cutting-edge AI on society. Interested Master’s students in their final year are also cordially invited to participate.
Keynotes & Speakers
The three keynote speeches are given by leading scientists and provide introductory insights into specific topics in Machine Learning, Data Management, Robotics, and the societal implications of AI in the context of the design of Autonomous Systems. The keynote speeches allow participants from all disciplines to broaden their interdisciplinary skills and understanding.
Prof. Dr. Judith Simon
Universität Hamburg
Prof. Dr. Marc Toussaint
Technische Universität Berlin
All Speakers of the Summer School 2026 are listed here.
Agenda
The 2026 Summer School will present a variety of formats and takes place over 3.5 days. In the following you will find the schedule for each day. Please note that on several days parallel content tracks are prepared.
| Time | Description | ||
|---|---|---|---|
| 09:00 – 10:00 | Registration & Coffee | ||
| 10:00 – 10:30 | Welcome Notes | ||
| 10:30 – 11:30 | Keynote: TBD Professor Dr. Judith Simon (Universität Hamburg) | ||
| 11:30 – 12:30 | Group Picture & Speed Meeting | ||
| 12:30 – 13:30 | Lunch break | ||
| 13:30 – 14:30 | TBD | ||
| 14:30 – 15:30 | Keynote: TBD Professor Dr. Marc Toussaint (Technische Universität Berlin) | ||
| 15:30 – 16:00 | Coffee break | ||
| 16:00 – 17:00 | Poster Session | ||
| 18:00 | Social Get-Together | ||
| Time | Description | ||
|---|---|---|---|
| 09:30 – 10:00 | Coffee & Exchange | ||
| 10:00 – 11:00 | Parallel Sessions (In-depths lectures) | ||
| TBD Dr. Lea Schönherr (CISPA Helmholtz Center for Information Security) | TBD Dr. Thorsten Eisenhofer (CISPA Helmholtz Center for Information Security) | ||
| 11:00 - 12:30 | Hands-on Session Dr. Lea Schönherr and Dr. Thorsten Eisenhofer (CISPA Helmholtz Center for Information Security) | ||
| 12:30 – 13:30 | Lunch break | ||
| 13:30 – 18:00 | Excursion (TBC) | ||
| Time | Description | |||||||
|---|---|---|---|---|---|---|---|---|
| 09:30 – 10:00 | Coffee & Exchange | |||||||
| 10:00 – 11:00 | Parallel Sessions (In-depths lectures) | |||||||
| TBD | TBD | |||||||
| 11:00 – 12:30 | Hands-On Session | |||||||
| TBD | TBD | |||||||
| 12:30 - 13:30 | Lunch break | |||||||
| 13:30 – 14:30 | Parallel Sessions (In-depths lectures) | |||||||
| TBD Professor Dr. Peter Neubauer (Technische Universität Berlin) | TBD Dr. Vince Madai (BIH, Berlin Institute of Health) | |||||||
| 14:30 – 15:30 | Hands-On Session (in parallel) | |||||||
| TBD Professor Dr. Peter Neubauer (Technische Universität Berlin) | TBD Kyle Krüger (BIFOLD) | |||||||
| 15:30 - 16:00 | Coffee Break | |||||||
| 16:00 - 17:30 | Debate | |||||||
| Time | Description | ||
|---|---|---|---|
| 09:30 - 10:00 | Coffee & Exchange | ||
| 10:00 - 11:00 | Keynote: Science Fiction Science Professor Dr. Iyad Rahwan (Max Planck Institute for Human Development) | ||
| 11:00 – 12:00 | Parallel Sessions (Hands-on sessions) | ||
| TBD Dr. Angelie Kraft and David Hartmann (Weizenbaum Institute) | TBD TBD | ||
| 12:00 – 12:30 | Final Discussion & Wrap up | ||
| 12:30 – 13:30 | Lunch break | ||
| 13:30 | End of Summer School - Departure | ||
What to expect
KEYNOTES
The keynote speeches are intended to provide an introductory overview of specific topics in Machine Learning, Data Management, Robotics, and the societal impact of AI in the context of the responsible design of AI-driven autonomous systems.
IN-DEPTH SESSIONS
In-Depths Lectures give a detailed introduction to specific topics, methods and projects of state-of-the-art research related to the design of autonomous systems in the various disciplines. Participants will be able to choose from parallel sessions according to their field of interest.
HANDS-ON SESSIONS
This practice-oriented formats offer participants hands-on experience and the opportunity to interact. Participants will be able to choose from parallel sessions according to their field of interest.
EXCURSION
The Summer School experience extends beyond the classroom with an engaging excursion, providing valuable insights into practical implementations of the principles discussed during the programme.
POSTER SESSION
In an interactive setting, participants will discuss their poster presentations, receive feedback, and engage in interdisciplinary dialogue on current topics related to AI-driven autonomous systems.
NETWORKING
Ample time for networking, exchange, and discussions will be provided. There will be a good balance between the number of participants and speakers, who will also be available for further discussion.
Organisational Details
Participants are expected to attend the entire programme. Participation is open to registered participants only.
Duration: Arrival is on Monday, 14 September 2026. Departure is on Thursday, 17 September 2026.
Apply by 30 June 2026
Fees: There is no fee for the school, but travel and accommodation expenses are not covered. Coffee and lunch breaks with a small catering are provided.
Accommodation: Participants are responsible to book their accommodation individually.
Venue: The Summer School will take place at BIFOLD on the TU Berlin Campus Charlottenburg in the very center of Berlin with many possibilities for relaxation and outdoor activities nearby.
Address: BIFOLD, Technische Universität Berlin, Franklinstr. 28-29, 10587 Berlin, Germany
Directions: The TU Campus Charlottenburg is located close to the train station Zoologischer Garten, the S Bahn station Tiergarten and the U Bahn station Ernst-Reuter-Platz.
Child care/special assictance: Please get in touch with us in case you need child care or special assistance. We may be able to provide some financial support grants for travel and accommodation.
Contact: Dr. Tina Schwabe, gs@bifold.tu-berlin.de
Organisers: BIFOLD Graduate School, the Learning and Intelligent Systems research lab, and Weizenbaum Institute.
Partners
Network