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Home/Artificial Intelligence/Explainable AI in Production: A Neuro-Symbolic Model for Real-Time Fraud Detection
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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 โ€” as a

โšกKey InsightsAI analyzingโ€ฆ
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Emmimal P Alexander

๐Ÿ“… Mar 30, 2026ยทโฑ 1 min readยทTowards Data Science โ†—
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https://towardsdatascience.com/explainable-ai-in-production-a-neuro-symbolic-model-for-real-time-fraud-detection/
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