The new Future Lab, AI4EO, is launching in May 2020 under TUM leadership and will be funded with up to 5 million Euros. In cooperation with the German Aerospace Center (DLR), among others, satellite data and Big Data analyses will be used to create models of global urbanization, food supplies and the management of natural disasters.
Niklas Cypris has joined the team Personalized AI-based Interventions Against Online Norm Violations: Behavioral Effects and Ethical Implications. He is a PhD student in Prof. Anna Baumert’s team at the Max-Planck-Institute for Research on Collective Goods.
The weapons deployed in the fight against the covid-19 pandemic also include artificial intelligence. AI might be able to recognize patterns in the spread of the disease, for example. These new possibilities raise ethical issues, however.
The COVID-19 crisis has already changed daily life in innumerable ways, and it will continue to have a significant impact as it shifts global opinion, politics, and approaches to combating pandemics and crises of all kinds.
Prof. Dr. Jürgen Pfeffer was interviewed by the Austrian radio station Ö1 about how big data can help fight the Coronavirus pandemic and what problems this use of big data might create. In a second interview with Ö1, he elaborated on the potential and risks of big data.
The IEAI co-hosted the 12th annual Forum for Humane Economic Order „Menschenwürdige Wirtschaftsordnung“ with the Academy for Political Education Tutzing on 6-7 March 2020. Set behind a stunning view of Lake Starnberg and the Alps, this year’s forum focused on the topic “Ethics in Artificial Intelligence.”
Autonomous Intelligent Driving GmbH (AID) is working on creating safe and reliable autonomous driving systems that will improve the life of millions. But what does safety with respect to driving actually mean?
The DiVA research project was conducted by the Institute of Transport Research – DLR. The aim of the projects was to analyze the possible effects of automated and connected driving and develop a concept for social dialogue in the future.
Nikolaus Pöchhacker has joined the Trust MLRegulation project. He is a PhD student in the Digital/Media/Lab at MCTS, Technical University of Munich, where he is researching the relationship between social order and algorithmic systems in various domains, bringing together perspectives from Media Theory, STS, and Sociology.
Konstantin Riedl has joined the team Online Firestorms and Resentment Propagation on Social Media: Dynamics, Predictability, and Mitigation. He is a PhD Student in the team of Prof. Fornasier, Department of Mathematics, TUM.
