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Harvard DSR AI/ML

Teaching AI to Test Itself in the Real World

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Right now we evaluate AI like we'd judge a swimmer in a lab pool. This work asks: what happens when we actually run field tests, watching how the system performs when the water temperature, currents, and rules all change mid-swim?

This means AI deployed in hospitals, courts, or schools can be held accountable to evidence in ways labs alone can't guarantee.


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