Uploaded June 2021 | Updated September 2026, 1 week ago
Despite their popularity with kids, tablets and other connected devices are built on top of systems that weren’t designed for them to easily understand or navigate. Adapting algorithms to interact with a child isn’t without its complications—as no one child is exactly like another. Most recognition algorithms look for patterns and consistency to successfully identify objects. but kids are notoriously inconsistent. In this episode, we examine the relationship AI has with kids.
We Meet:
Judith Danovitch, associate professor of psychological and brain sciences at the University of Louisville
Lisa Anthony, associate professor of computer science at the University of Florida
Tanya Basu, MIT Technology Review
Credits: This episode was reported and produced by Tanya Basu, Anthony Green, Jennifer Strong, and Emma Cillekens. We’re edited by Michael Reilly.
Despite their popularity with kids, tablets and other connected devices are built on top of systems that weren’t designed for them to easily understand or navigate. Adapting algorithms to interact with a child isn’t without its complications—as no one child is exactly like another. Most recognition algorithms look for patterns and consistency to successfully identify objects. but kids are notoriously inconsistent. In this episode, we examine the relationship AI has with kids.
We Meet:
Judith Danovitch, associate professor of psychological and brain sciences at the University of Louisville
Lisa Anthony, associate professor of computer science at the University of Florida
Tanya Basu, MIT Technology Review
Credits: This episode was reported and produced by Tanya Basu, Anthony Green, Jennifer Strong, and Emma Cillekens. We’re edited by Michael Reilly.
