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Day 1: 04.10.2023

08:45–09:15    Welcoming Coffee
Session 1 (09:15 – 10:50)
09:15–09:30 Opening Remarks
Organization team
09:30–10:10 The Neurocognitive Basis of Human Intelligence
Prof. Anna-Lena Schubert (Mainz University)
10:10–10:50 Computing with Physics: Biological and Bio-Inspired Intelligence
Dr. Mihai Petrovici (Bern University)
10:50–11:10 Coffee Break with Snacks
Session 2 (11:10 – 13:10)
11:10–11:50 Explainable AI: Ideas, Solutions, and Difficulties
Prof. Ullrich Köthe (Heidelberg University)
11:50–12:30 Machine Psychology: Using the Cognitive and Behavioral Sciences to Understand Large Language Models
Dr. Eric Schulz (MPI Biological Cybernetics, Tübingen)
12:30–13:10 Combining Artificial Neural Networks and Classic Cognitive Models for Predictive, Interpretable Models of Human Cognition
Dr. Maria K. Eckstein (Google DeepMind, London)
13:10–14:15 Lunch Break
Session 3 (14:15 – 17:00)
14:15–14:55 Computational Modeling of Fast and Flexible Action Selection Using Contextual Inference
Prof. Stefan Kiebel (Technical University Dresden)
14:55–15:35 Reconstructing Computational System Dynamics From Brain and Behavioral Data with AI
Prof. Daniel Durstewitz (Department of Theoretical Neuroscience, CIMH)
15:35–16:30 Open Discussion Time
16:30–16:40 Using Recurrent Neural Networks to Mimic Human Social Interaction Dynamics
Manuel Brenner (Department of Theoretical Neuroscience, CIMH)
16:40–16:50 Biochatter: A Python Framework for Human-AI Collaboration in Biomedicine
Dr. Sebastian Lobentanzer (Institute for Computational Biomedicine, University Hospital Heidelberg)
16:50–17:00 AI Explainability and Human Responsibility
PD Dr. Markus Herrmann (National Center for Tumor Diseases, Heidelberg)
19:00 Dinner

Day 2: 05.10.2023

08:45–09:15 Welcoming Coffee
Session 4 (09:15–11:05)
09:15–09:55 What is Intellect? Conceptual Constraints for Research on Human and Artificial Intelligence
Dr. Alexander Wendt (Sigmund Freud University Vienna & Università degli studi di Verona)
09:55–10:35 Neuro-Computational Models for Maladaptive Social Learning and Decision-Making
Jun.-Prof. Christoph Korn (Heidelberg University)
10:35–11:05 Causal Generative Models of Gene Regulation
Dr. Kai Ueltzhöffer (EMBL, DKFZ, Heidelberg University)
11:05–12:00 Concluding remarks, coffee break and small take away lunch bags