Interpretable machine learning through teaching

Researchers have developed a machine learning method that enables AIs to teach each other using examples that are also interpretable by humans. The approach automatically identifies the most informative examples to convey concepts, such as selecting optimal images to represent dogs, and has shown effectiveness in teaching both artificial intelligence systems.