Invited Talks
Danica Dillion
Danica Dillion
Danica Dillion
Postdoctoral Researcher at Complexity Science Hub and The Ohio State University. Her work examines the relationships between belief systems and emerging technologies, with a focus on how AI programs model moral values and how these models can be better aligned with people. Her research has been published in journals such as Nature Human B
Postdoctoral Researcher at Complexity Science Hub and The Ohio State University. Her work examines the relationships between belief systems and emerging technologies, with a focus on how AI programs model moral values and how these models can be better aligned with people. Her research has been published in journals such as Nature Human Behaviour and Trends in Cognitive Sciences, and featured in media outlets including The New Yorker and Scientific American.
Marcel Binz
Danica Dillion
Danica Dillion
Staff scientist and deputy head of the Institute for Human-Centered AI at Helmholtz Munich. His work is situated at the intersection of cognitive science and machine learning, aiming to uncover the computational principles of the human mind using data-driven methods.
Raja Marjieh
Danica Dillion
Raja Marjieh
PhD candidate at Princeton University, working in the Computational Cognitive Science Lab at the Department of Psychology. His work focuses on understanding sensory and semantic representations in humans and machines, their alignment, and the way they shape behavior from individuals to entire populations.
Organizers
Levin Brinkmann
Levin Brinkmann
Levin Brinkmann
Research Scientist at the Center for Humans and Machines, Max Planck Institute for Human Development. Investigates the cultural and strategic dynamics in populations of humans and machines.
Dirk Wulf
Levin Brinkmann
Levin Brinkmann
Senior research scientist at the Max Planck Institute for Human Development. Bridging psychology and AI, his research uses computational approaches to study learning, representations, and decision making in humans and artificial agents.