The rapid development of artificial intelligence is shaping not only the technological landscape but also nearly all scientific disciplines. To address this development and fully exploit the diverse potentials of AI at our university, we warmly invite you to the first Artificial Intelligence Day at Leibniz University Hannover. The aim of the day is for us to exchange ideas on the diverse topics of AI: from basic research and its application in research to questions of how AI can be used efficiently in teaching.

When: August 13th (Tuesday)
Where: Lichthof Welfengarten 1
Who: Everyone being interested in AI
Registration Deadline:
  Poster: July 31st*
  Attendance without poster: August 7th

* Please register as soon as possible so that we can plan the number of participants (and the snacks on the evening) accordingly.

We are excited to have an outstanding keynote speaker for our AI day at the LUH.

Holger H. Hoos is an Alexander von Humboldt Professor of AI at RWTH Aachen University (Germany), Professor of Machine Learning at Universiteit Leiden (the Netherlands) and Adjunct Professor of Computer Science at the University of British Columbia (Canada), where he also holds an appointment as Faculty Associate at the Peter Wall Institute for Advanced Studies. He is a Fellow of the Association for Computing Machinery (ACM), Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), Fellow of the European Association for Artificial Intelligence (EurAI), chairman of the board of the Confederation of Laboratories of Artificial Intelligence Research in Europe (CLAIRE), vice-president of EurAI, past president of the Canadian Association for Artificial Intelligence (CAIAC), member of the Advisory Board and former Editor-in-Chief of the Journal of Artificial Intelligence Research (JAIR) and leader of the VISION coordination mandate for the four European networks of centres of excellence in AI established in 2020.

Title: How and why AI will shape the future of science and engineering

Abstract: Recent progress in artificial intelligence has elevated what used to be a highly specialised research area to a topic of public discourse and debate. In this presentation I will discuss why beyond the hype, there are good reasons to be excited, but also concerned about AI. Specifically, I will explain how and why AI will have transformative impact on all sciences and engineering disciplines. Based on my own research on the robustness of neural networks, I will discuss some of the fundamental strengths, weaknesses and limitations of current AI systems. Finally, I will share some thoughts on  the most serious risks of deploying these systems quickly and broadly, as well as on what needs to be done in order to manage these risks and to realise the benefits AI can bring.