09.09.2024 - 13.09.2024
TU-Campus EUREF, EUREF-Campus 9, 10829 Berlin-Schöneberg
Berlin Summer School of AI & Society
We invite Phd students to this year's Berlin Summer School of AI & Society is focussing on “AI and the Urban: Making cities smart(er)?”
Berlin is facing several challenges, ranging from modernizing public administration over traffic planning to adapting to climate change and regulating the housing market, to name just a few. In this context, the effective application of artificial intelligence (AI) approaches promises a better understanding of processes, e.g. spatial, temporal or environmental developments through the integration of sensor data.
On this basis, they may offer a wide range of new design options. However, with their high demand for resources, like energy and water for cooling and technical infrastructure, the development and implementation of these solutions demands careful consideration and planning. Given the highly complex and human-centered nature of urban systems, practical implementation of AI technologies in cities requires a uniquely interdisciplinary lens underpinned by ethical considerations.
For this reason, this Summer School offers a space to explore initial approaches and to critically reflect on the prerequisites and effects of new technologies in the course of various aspects of the "urban". Using a transdisciplinary approach, participants will develop an in-depth understanding of to what extent technologies such as AI must be understood as opportunities and/or threats for sustainable urban development.
Keynote Speakers
The keynote speakers Lynn Kaack, Jörg Stollmann, John-Dylan Haynes, and Volker Markl will be complemented by in-depth lectures and exciting practical workshops to ensure an interactive and interdisciplinary learning atmosphere.
Registration
Are you interested in environmentally friendly, participatory and feasible solutions for your city?
Then register here by 19 July for this exciting Summer School in Berlin.
Organizers
The school is jointly organized by the Graduate School of the Berlin Institute for the Foundations of Learning and Data (BIFOLD), the Excellence Cluster Science of Intelligence and the Weizenbaum Institute in Berlin.
If you have any questions, please contact: André Ullrich, Bonny Brandenburger or Nicolas Zehner