Advances in Artificial Intelligence (AI) methods have yielded unprecedented results, even surpassing human performance on a variety of well-defined tasks. However, most real-world problems, especially those involving humans, are complex, multi-dimensional and hard to specify a priori. A principled way to address this limitation is to allow AI systems to collaborate with humans, and thereby actively anticipate and adapt to humans’ needs and abilities. To enable such reasoning, AI must be equipped with computational models of human behavior. Such models have been heavily investigated in cognitive science and AI-adjacent fields such as human-AI interaction, human-computer interaction (HCI), and behavioral game theory. However, due to differences in research goals and experimental settings, these communities have operated more or less independently, with limited exchange of theories and methods.

Following a successful first edition in 2024, we aim to bring together members of the communities relevant to human-AI collaboration and user modeling to exchange theories, perspectives, and methods.

Q&A: If you have questions for the speakers during the talk/panel discussion, you could also add them to the sheet at [this] link