Automated machine learning model explanation generation

A computer system automatically creates explanations for how a first AI model works. It gathers details about the first AI model, including interpretation data it generates itself, and then uses a second AI model to write a text explanation based on those details and specific criteria.

Why it matters: In 2021, generating nuanced explanation text via a second ML model was a significant challenge. The rapid advancements in large language models since then make the text generation component significantly more feasible and powerful today.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning models, software logic

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