AI risk and AI alignment

Abstract: The planetary dominance over other species that humanity has attained has very little to do with muscular strength and physical endurance: it is all about intelligence. This makes the present moment in history, when we are automating intelligence and handing over this crucial skill to machines, the most important ever. The research area that has become known as AI alignment deals with how to make sure that the first superintelligent machines have goals and values that are sufficiently aligned with ours and that sufficiently prioritize human flourishing. This needs to succeed, because otherwise we face existential catastrophe. In these lectures I will outline key challenges in AI alignment, what is being done to solve them, and how all this relates to the breakneck speed at which AI is presently advancing.

computational geometrymachine learningprogramming languagesdifferential geometryinformation theorydata analysis, statistics and probability

Audience: researchers in the topic

Mapping the Interdisciplinary Horizons of AI: Safety, Functional Programming, Information Geometry

Series comments: 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), Seth Baum (Global Catastrophic Risk Institute, USA, University of Cambridge, UK), Olle Häggström (Chalmers University of Technology and University of Gothenburg, Sweden), Anders Sanberg (Future of Humanity Institute, University of Oxford, UK), Patrik Jansson (Chalmers University of Technology, Sweden), Frank Nielsen (Sony Computer Science Laboratories, Japan), Dmitri Alekseevsky (University of Hradec Králové, Czech Republic), Frédéric Barbaresco (Thales Land and Air Systems, France), Noémie Combe (Max Planck Institute for Mathematics in Sciences, Germany).

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.