Research on machine teaching in which non-experts teach a model through a teachable interface.
In the Medium article, “What to Expect When Non-Experts Train AI” by Jonggi Hong, he describes a research study on machine teaching in which non-experts teach a model through a teachable interface.
A teachable interface “empowers AI-infused systems by democratizing the training tasks and providing end-users with opportunities to customize the models to their own input.”
The research study was conducted by a team from the Human-Computer Interaction Lab (HCIL) including Jonggi Hong, Kyungjun Lee, June Xu, and University of Maryland College of Information Studies (UMD iSchool) Assistant Professor Hernisa Kacorri.
Through the study, the research team gained a better understanding of how non-experts interact with a teachable interface.