Child-Centred AI Design: Definition, Operation, and Considerations

Abstract

AI systems and related algorithms are starting to play a variety of roles in the digital ecosystems of children - being embedded in the connected toys, smart home IoT technologies, apps, and services they interact with on a daily basis. Going forward, AI systems will, in all likelihood, become even more pervasive in children’s applications simply due to their sheer usefulness in creating compelling, adaptive, and personal user experiences. Yet, understanding the ways that AI-driven systems used by children operate, and how AI could be designed to better anticipate and respond to children’s diverse requirements is still a new and emerging area of investigation. extit{Our goals} of this workshop are to (1) extend the current critically constructive dialogue around the meaning of child-centred AI design and (2) explore ways to operationalise such child-centred AI design in practice, and finally (3) further expand and foster a community for those who are interested in designing and developing child-centred AI systems.

Publication
In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Ge Wang
Ge Wang
DPhil (Ph.D.) student

I’m a Dphil student in the Department of Computer Science at University of Oxford. My research investigates the algorithmic impact on families and children, and what that means for their long-term development. I’m keen to explore the potential for designing more age-appropriate AI for families, as well as building more ethical web and data architecture for them. My research takes a human-centric approach, and focuses on understanding users' needs in order to design technological prototypes that are of real impact on today’s society.