Elevator Pitch
Where trust matters, as in medical diagnosis, people need to understand why a model answers as it does. YC wants interpretable models and tools that explain existing ones.
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Full Description
YC opens with questions: would you trust an AI to diagnose you, could you swear a model is unbiased, and how can you be sure a model isn't hallucinating an answer?
YC admits that understanding model behavior is very hard, but argues that where trust is paramount, a model needs to be interpretable and its responses explainable. Its view is that society won't get the full benefits of AI without more work on this.
The ask: new interpretable models, or tools that explain the output of existing models.
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