The model's decisions must be presented interpretably so stakeholders can trust its outputs.

Researchers emphasize interpretability when deploying machine learning models in high-stakes domains.

The judge's interpretational notes helped clarify the law's ambiguous provisions.

She interpretted the ancient inscription as a warning, though most scholars disagreed.

By annotating ambiguities, she was interpretting the text in a way that surprised her colleagues.

The interpretableness of the model's results was more important to stakeholders than marginal gains in accuracy.

Researchers compared the interpretabilities of several models to determine which one would be safest for deployment.

The geologists relied on photographic interpretation to identify ancient river channels buried beneath the desert sand.

At the conference, historical interpreters debated how to present contested events to the public.

The historical interpreter captivated visitors with a stirring portrayal of a 19th-century pioneer, complete with period clothing and authentic dialect.