Tag: explainable AI
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Explainable AI for Speaker Recognition: Understanding Clusters
Explore how Explainable AI reveals hierarchical clusters in speaker recognition, improving transparency and interpretability of neural network models.
XGRAG: Explainable Graph-Based KG Retrieval Framework
Discover XGRAG, a graph-native framework enhancing explainability in KG-based retrieval-augmented generation with improved transparency and trust.
FAIR_XAI: Enhancing Fairness in AI for Wellbeing Assessment
Discover how FAIR_XAI improves fairness and explainability in multimodal AI models for accurate, unbiased mental health and wellbeing assessments.
Active Inference for Defining Agency in AI Systems
Explore how active inference phenotypes agency in AI using intentionality, rationality, and explainability for better governance frameworks.
Atlas-Alignment: Scalable Interpretability for Language Models
Discover Atlas-Alignment, a framework that makes language model interpretability scalable, cost-efficient, and robust across AI systems.