= Cointerpretability
{wiki=Cointerpretability}
Cointerpretability is a concept that generally arises in the context of interpreting two or more models or systems in relation to each other. While there isn't a universally standardized definition across all fields, it typically refers to the idea that the interpretations of different models can be understood in conjunction with one another, providing complementary insights or perspectives. In more technical settings, particularly in machine learning and AI, cointerpretability may involve assessing how well different models explain the same underlying phenomena or share features.
Back to article page