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OpenAI Blog · Feb 15, 2018

Interpretable machine learning through teaching

Reviewed by Errol Vogt, Site support technician & online learning analyst · original summary · editorial policy

Interpretable machine learning through teaching. We’ve designed a method that encourages AIs to teach each other with examples that also make sense to humans. Our approach automatically selects the most informative examples to teach a concept—for instance, the best images to describe the concept of dogs—and experimentally we found our approach to be effective at teaching both AIs This update is relevant for small-office operators tracking changes in their tools.

Operator takeaway: For operators: review whether 'Interpretable machine learning through teaching' affects your current setup before relying on it in production.

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