Thursday Morning Talk

Verena Wagner (University of Konstanz), “On Pause: Suspending Judgment and Abstaining in Machine Learning”

Abstract: Machine Learning (ML) systems typically yield definitive outputs, even when the underlying probabilities do not justify a decision. This poses a significant challenge in medical applications, where patients rely on individualized diagnoses, treatments, and prognoses. A recent advancement in ML research addresses this issue by introducing so-called “abstention models,” which enable ML systems to

Thursday Morning Talk

Caleb Weinreb (Harvard Medical School), “A Seconds-Long Timescale in Naturalistic Behavior Structures Neural Dynamics”

A core task of animal cognition is to carve the world up into relevant contextual states – based on sensory input, internal drives, and awareness of one’s own recent behavior – and then hold these state assignments in working memory as guides for action and anchors for learning. By training animals to perform asks with

Thursday Morning Talk

Ralf M. Haefner (University of Rochester, NY), “How We Move Our Eyes To Collect Information”

MAR 2.057

Abstract Collecting new information about the outside world is a key aspect of brain function. In the context of vision, we move our eyes multiple times per second to accumulate evidence about a scene. Prior studies have suggested that this process is goal-directed and close to optimal. Here, we show that this process of seeking

Thursday Morning Talk

POSTPONED: Anita Keshmirian (Forward College, Berlin), “Many Minds, Diverging Morals: Human Groups vs. AI in Moral Decision-Making”

Marchstraße 23, 10587 Berlin, Room 2.057

Abstract "Moral judgments are inherently social, shaped by interactions with others in everyday life. Despite this, psychological research has rarely examined the impact of social interactions on these judgments. In our study, we explored the role of group dynamics in moral decision making by having small groups (4-5 participants) evaluate moral dilemmas first individually, then

Thursday Morning Talk

Hideki Kozima (Tohoku University), “Child-Robot Interactions for Therapeutic and Educational Research and Practices”

SCIoI, Marchstraße 23, 10587 Berlin, Room 2.057

Abstract: Research in developmental robotics includes modeling human intelligence and the process of its emergence in robotic systems. A novel research paradigm in psychology is emerging in conjunction with such efforts regarding reproducing human-specific communication abilities in robots and observing how children interact with robots with various communication capabilities. I will discuss such research trends

Thursday Morning Talk

Anita Keshmirian (Forward College, Berlin): “Many Minds, Diverging Morals: Human Groups vs. AI in Moral Decision-Making”

SCIoI, Marchstraße 23, 10587 Berlin, Room 2.057

Moral judgments are inherently social, shaped by interactions with others in everyday life. Despite this, psychological research has rarely examined the impact of social interactions on these judgments. In our study, we explored the role of group dynamics in moral decision-making by having small groups (4-5 participants) evaluate moral dilemmas first individually, then collectively, and

Thursday Morning Talk

Wannes Ooms (KU Leuven Centre for IT & IP Law -Imec): A General Introduction to the EU AI Act

Marchstraße 23, 10587 Berlin, Room 2.057

The EU AI Act introduces new obligations for providers and deployers of AI systems. In this presentation, we will discuss the scope of the AI Act, the different qualifications of AI systems under the act and the related obligations or requirements. We also provide a look ahead at key deadlines, the status of standards and

Thursday Morning Talk

Marina Papadopoulou (University of Tuscia), “Behavioural Rules Underlying Self-Organized Animal Collectives”

SCIoI, Marchstraße 23, 10587 Berlin, Room 2.057

From the foraging of ungulates and primates to the bait balls of fish and the murmurations of starlings, the dynamics of animal groups fascinate us with the mystery of their underlying social interactions. Identifying unique and common traits across systems can help us understand the self-organized mechanisms of their emergence, as well as the ecological