Tag: explainable AI
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Explainable Intrusion Detection Using Encoder-Based LLMs
Discover how attribution-driven analysis with encoder-based LLMs enhances transparency and trust in intrusion detection for cybersecurity.
Detecting Intersectional Bias in LLMs Using Persona Engineering
Explore how persona engineering reveals implicit intersectional biases in large language models with the novel BADx metric for dynamic bias detection.
EviSnap: Transparent Cold-Start Cross-Domain Recommendations
EviSnap offers evidence-based, transparent explanations for cold-start cross-domain recommendations, improving accuracy and user trust in AI systems.
Explaining Neural Networks in Preference Learning with ILP
Discover how Inductive Logic Programming (ILP) explains neural networks in preference learning, enhancing interpretability and model fidelity.
Neurosymbolic Offer Validation in Regulated Procurement
Discover a neurosymbolic AI approach combining LLMs and Logic Tensor Networks for accurate, auditable offer validation in regulated procurement.