Jared Freeman
Papers
1
Total Citations
9
H-Index
1
About
Jared Freeman is a leading researcher at the intersection of cognitive science, artificial intelligence, and team dynamics, with a focus on developing artificial social intelligence for human-AI collaboration. His most-cited work, "Transdisciplinary Team Research to Develop Theory of Mind in Human-AI Teams Panelists" (2021, 9 citations), exemplifies his pioneering approach to integrating insights from cognitive, computational, and neural sciences to advance team-based AI systems. Freeman’s major contributions lie in bridging theoretical frameworks of human cognition with practical AI design, particularly in enabling machines to understand and predict human mental states—a critical capability for effective teamwork. His research has significant implications for military, healthcare, and industrial applications where human-AI teams must operate seamlessly. Beyond his scholarly impact, Freeman is recognized for fostering transdisciplinary dialogue, bringing together diverse experts to tackle complex challenges in human-machine collaboration. His work continues to shape how researchers conceptualize and build AI that can truly partner with humans, making him a key figure in the evolving field of human-AI teaming.
Research Focus
Key Achievements
Top Papers
- 1