Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety
Manas Gaur,
Amit Sheth
Abstract:Explainability and Safety engender trust. These require a model to exhibit consistency and reliability. To achieve these, it is necessary to use and analyze data and knowledge with statistical and symbolic AI methods relevant to the AI application––neither alone will do. Consequently, we argue and seek to demonstrate that the NeuroSymbolic AI approach is better suited for making AI a trusted AI system. We present the CREST framework that shows how Consistency, Reliability, user‐level Explainability, and Safety… Show more
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