Recent advances in machine learning allow for increasing fidelity in the ability of machines to replicate human behavior.
This workshop explores machines trained to replicate human behavior. We discuss behavioral clones as
We also consider the challenge of assessing how closely these systems align with real human actions.
The workshop will take place on Wednesday, May 20, following the main conference, and will be hosted at the Max Planck Institute for Human Development in Berlin. Participation in the workshop is included in the main conference admission fee; separate registration is also possible. Attendance is limited and will be offered on a first-come, first-served basis, with priority given to accepted contributions.
The workshop on Behavioral Clones invites submissions for talks, lightning talks and poster presentation.
We welcome submissions on published and ongoing research, including preliminary and work-in-progress results.
Submit your ~250 word (1250 character) abstract below.
January 1, 2025: Submissions Open
February 4, 2026 (AOE): Submission Deadline
March 1, 2026: Notification of Acceptance

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.

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.

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.

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.
Lentzeallee 94, 14195 Berlin