GAI uses orthogonal moment conditions to integrate arbitrary AI-generated auxiliary data into human-label models, delivering consistent estimates, asymptotic normality, and a safe-default efficiency improvement over human-data-only methods.
–” indicates Primary estimator values exceeding 1,000 due to quasi-complete separation in unregularized logistic regression at small sample sizes. “N/A
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Generative Augmented Inference
GAI uses orthogonal moment conditions to integrate arbitrary AI-generated auxiliary data into human-label models, delivering consistent estimates, asymptotic normality, and a safe-default efficiency improvement over human-data-only methods.