Artificial intelligence (AI) is increasingly being used to change our cities and manage traffic and movement. This is achieved through meeting the needs of commerce, combating crime, monitoring individuals and improving our everyday lives. But how can individuals' privacy and rights to codetermination be balanced against development and employment of learning technologies (machine learning / AI) dependent on a lot of data? What regulatory framework is most central? What degree of explainability and transparency is reasonable towards citizens, do these differ in different parts of the world? These questions will be explored throughout this course.
This course provides students the opportunity to focus in depth about what is means to be a ‘smart city’ in both theory and practice. This will be achieved through an interdisciplinary approach with architect and engineer students as well as lecturers from various backgrounds (ranging from computer science to lawyers and from academics to professionals in the field). There is also an excursion to Helsingborg to visit the H22 project for all admitted students on this course.
Invited guest lecturers:
- Fredrik Heintz, Computer scientific AI researcher, Linköping University.
- Carl Piva, CEO of Internetstiftelsen.
- Dalia Mukhtar-Landgren, lecturer and researcher in Political Science at Lund University.
- Anna Felländer, founder of AI Sustainability Center
- Jannice Käll, senior lecturer, dept. of sociology of law, Lund University.
- Johan Linåker, researcher affiliated with RISE and Lund University.
- Kasia Söderlund, doctoral student at LTH’s Department of Technology and Society focusing on the legal aspect of AI Transparency and Consumer Trust.
- Jonas Andersson Schwarz, media and communication researcher, Södertörn University.
- Lars Harrie, researcher and lecturer in geographic information science, Lund University.
- Joakim Wernberg, research leader at Entreprenörskapsforum.
Course is available for students in A, C, D or L program. Suitable for exchange students.
LIMITATION: The course is limited to 40 students, but runs in parallel with TFRP60 with up to 15 students from non-LTH-programs.