BCPNNs are inherently interpretable models, and this work supplies a taxonomy, sixteen explanation primitives, and configuration artifacts to make their decisions auditable without post-hoc tools.
FairyLandAI: Personalized fairy tales utilizing ChatGPT and DALL-E 3
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cs.AI 2years
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UNVERDICTED 2representative citing papers
An architecture stores XAI explanations persistently in searchable storage and uses RAG to synthesize multiple methods conversationally, cutting hallucination rates by 36% in a FinBERT financial sentiment demo.
citing papers explorer
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Native Explainability for Bayesian Confidence Propagation Neural Networks: A Framework for Trusted Brain-Like AI
BCPNNs are inherently interpretable models, and this work supplies a taxonomy, sixteen explanation primitives, and configuration artifacts to make their decisions auditable without post-hoc tools.
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Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI
An architecture stores XAI explanations persistently in searchable storage and uses RAG to synthesize multiple methods conversationally, cutting hallucination rates by 36% in a FinBERT financial sentiment demo.