Interpretable machine learning through teaching

OpenAI · 8 years ago · 3

Researchers developed a method where AI systems teach each other using examples selected to be interpretable to humans as well as informative to machines. The approach automatically identifies the most instructive examples—such as representative images—to convey a concept like "dogs." This technique enables AI models to learn concepts while maintaining human-understandable reasoning about what makes those examples representative.