Developmental AI Task Force
of the IEEE Technical Committee on Cognitive and Developmental Systems
Understanding physics is child's play when compared to understanding child's play.
Albert Einstein
Motivation
Artificial Intelligence (AI) systems have come a long way in recent years and now they perform many challenging real-world tasks. However, they still have only limited human-like "common sense" and lack the flexible and general intelligence that allow humans to solve myriads of new problems in an instant. Furthermore, these AI systems do not yet exhibit a human-like form of consciousness. The foundations for these human capacities are formed during our cognitive development as infants and children. This development relies on active exploration and interaction with the physical and social environment, fostered by drives to experiment with, better understand, and better control the world around us. Is it possible to build AI systems that can learn in a similar way? Will such artificial systems develop a human-like common sense and flexible and general intelligence and ultimately a human-like consciousness? Will this help us better understand the processes of cognitive development in human infants and children?
Mission
The Developmental AI Task Force brings together scientists interested in the above questions. It is one of the task forces of the IEEE Technical Committee on Cognitive and Developmental Systems. It aims to promote research at the interface of Artificial Intelligence and Human Cognitive Development by, e.g., organizing conferences, workshops, journal special issues as well as tutorials and competitions on relevant topics. Members of the task force also organize the Developing Minds global online lecture series. The task force has been established in 2023.
Current Members
David Crandall (Bloomington, USA), Verena Hafner (Berlin, Germany), Brenden Lake (New York, USA), Georg Martius (Tübingen, Germany), Yukie Nagai (Tokyo, Japan), Alexandre Pitti (Cergy-Pontoise, France), Ana Tanevska (Uppsala, Sweden), Tadahiro Taniguchi (Kyoto, Japan), Jochen Triesch (Frankfurt am Main, Germany) (Chair), Justin N. Wood (Bloomingtion, USA), Samantha Wood (Bloomington, USA), Chen Yu (Austin, USA).
Join Us
If you'd like to contribute to our effort by helping us to organize workshops, tutorials, journal special issues, etc., or if you have other ideas for how to grow and promote our community, please contact us and join the fun!
Recent/Ongoing Activities
Check out our Developing Minds global online lecture series!
2024
Yukie Nagai is General Chair of the 24th Congress of the Japanese Society of Baby Science in Tokyo, Japan in August 2024
David Crandall is Program Chair of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024
Chen Yu is organizing the IEEE International Conference on Development and Learning (ICDL) 2024 in Austin, Texas, USA.
2023
Tadahiro Taniguchi, Yukie Nagai, et al. organized the workshop "World Models and Predictive Coding in Cognitive Robotics" at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023).
Alexandre Pitti is organizing the 4th NeuroDevRob workshop: "Developmental AI, Cognitive Robotics, Cognitive Sciences and Neurosciences" at Cergy Paris University, France, in December 2023.
Georg Martius is co-organizing IMOL 2023, the Sixth International Workshop on Intrinsically-Motivated Open-ended Learning
David Crandall is program chair of the IEEE Winter Conference on Applications of Computer Vision (WACV 2023)
Yukie Nagai, Jochen Triesch, and Chen Yu are organizing the Developinng Minds global online lecure series