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Explainable AI in Production: A Neuro-Symbolic Model for Real-Time Fraud Detection

Towards Data Science Emmimal P Alexander March 30, 2026
Explainable AI in Production: A Neuro-Symbolic Model for Real-Time Fraud Detection

SHAP needs 30 ms to explain a fraud prediction. That explanation is stochastic, runs after the decision, and requires a background dataset you have to maintain at inference time. This article benchmarks a neuro-symbolic model that produces a deterministic, human-readable explanation in 0.9 ms — as a

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