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Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph
Conversational AI systems have emerged as key enablers of human-like interactions across diverse sectors.
Background Knowledge Injection for Interpretable Sequence Classification
Sequence classification is the supervised learning task of building models that predict class labels of unseen sequences of symbols.
Interpretable Credit Application Predictions With Counterfactual Explanations
Our contribution is two-fold: i) we propose positive counterfactuals, i. e. we adapt counterfactual explanations to also explain accepted loan applications, and ii) we propose two weighting strategies to generate more interpretable counterfactuals.
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