Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind
Mouad Abrini, Omri Abend, Dina Acklin, Henny Admoni, Gregor Aichinger,, Nitay Alon, Zahra Ashktorab, Ashish Atreja, Moises Auron, Alexander, Aufreiter, Raghav Awasthi, Soumya Banerjee, Joe M. Barnby, Rhea Basappa,, Severin Bergsmann, Djallel Bouneffouf, Patrick Callaghan

TL;DR
This collection of papers from the AAAI 2025 workshop explores how Theory of Mind can advance artificial intelligence, providing insights and new research directions for the AI community.
Contribution
It compiles recent research efforts and discussions on integrating Theory of Mind into AI systems to improve their social and cognitive capabilities.
Findings
Identifies key challenges in implementing ToM in AI
Proposes new models for AI understanding of human mental states
Highlights future research directions in ToM and AI
Abstract
This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2025. The purpose of this volume is to provide an open access and curated anthology for the ToM and AI research community.
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Taxonomy
TopicsCognitive Science and Education Research · Embodied and Extended Cognition · Cognitive Computing and Networks
