Natural and artificial intelligence
As the influence of artificial intelligence on the world grows, there is a growing need to understand complex systems involving both natural and artificial intelligence (AI), and to ensure that such systems are safe and aligned with human values such as freedom, kindness and justice. We therefore examine both directly advanced AI systems and their interactions with each other and with humans, and theoretical and empirical models of AI risks.
Our research draws on insights and methods from a wide range of disciplines, including machine learning, information theory, complex network theory, active inference, ecology, and more.
Contributing to research in this field are: Jan Kulveit (coordinator), Tomáš Gavenčiak, Ada Böhm, Clem von Stengel, Nora Ammann a Marek Hudík