Interpretability

In AI, interpretability refers to the ability of researchers to evaluate, trace, and build upon an AI system's reasoning process. In scientific contexts, interpretability is critical because a prediction or recommendation that can't be interrogated and understood is effectively useless for building reliable knowledge. Both the Allen Institute and HHMI partnerships emphasize interpretability as a core requirement for AI agents in research.