Summer School & Workshop Wisla 23. Mapping the Interdisciplinary Horizons of AI: Safety, Functional Programming, Information Geometry, and Beyond.
We are delighted to announce the Summer School & Workshop Wisla 23, a prestigious event that brings together students, researchers, and practitioners from across the globe in the fields of AI, mathematics, and computer science. Taking place from August 21 – September 1, 2023, this will be a hybrid event hosted by the Baltic Institute of Mathematics. We aim to make it worthwhile to join us in Gothenburg, Sweden, but it will also be the alternative of participating remotely.
Topic: Mapping the Interdisciplinary Horizons of AI: Safety, Functional Programming, Information Geometry, and Beyond.
This year’s event offers a unique opportunity to explore the frontiers of AI and its intersection with other disciplines. Whether you are an experienced researcher or an aspiring practitioner, this event provides a platform for sharing knowledge, fostering collaboration, and gaining valuable insights from experts.
Insightful lectures by:
Scott Aaronson (The University of Texas at Austin, USA) – AI Safety: Leaning into Uninterpretability
Seth Baum (Global Catastrophic Risk Institute, USA, University of Cambridge, UK) – Social and Philosophical Dimensions of AI Alignment
Olle Häggström (Chalmers University of Technology and University of Gothenburg, Sweden) – AI Risk and AI Alignment
Anders Sanberg (Future of Humanity Institute, University of Oxford, UK) – TBA
Patrik Jansson (Chalmers University of Technology, Sweden) – Domain-Specific Languages of Mathematics
Valentin Lychagin (University of Tromsø, Norway) – Introduction to Contact Geometry with Applications
Frank Nielsen (Sony Computer Science Laboratories, Japan) – Introduction to Information Geometry, Recent Advances, and Applications
Dmitri Alekseevsky (University of Hradec Králové, Czech Republic) – Neurogeometry of Vision and Information Geometry of Homogeneous Convex Cones
Frédéric Barbaresco (Thales Land and Air Systems, France) – Symplectic Foliation Structures of Information Geometry for Lie Groups Machine Learning
Noémie Combe (Max Planck Institute for Mathematics in Sciences, Germany) – Exploring Information Geometry: Recent Advances and Connections to Topological Field Theory
In addition, the event will provide participants with the opportunity to present their own research and receive valuable feedback from peers and experts. Contributions, subject to peer review, will also have the chance to be published by Springer Nature.
Please visit http://www.baltinmat.com/wisla23/ for full details.
The Organizing Committee