Tag: AI explainability
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Two-Stage LLM Framework for Verified XAI Explanations
Discover a two-stage LLM framework that ensures accurate, coherent, and accessible XAI explanations with meta-verification for trustworthy AI insights.
Model-Agnostic XAI Methods for EU AI Act Compliance
Explore how model-agnostic XAI methods meet EU AI Act explainability rules with a new scoring framework for regulatory compliance.
Explainability & Certification of AI-Generated Educational Tests
Explore a framework ensuring transparency, trust, and certification in AI-generated educational assessments for better institutional acceptance.
GLEaN: Visual Bias Detection in Text-to-Image Models
Discover GLEaN, a scalable approach that visually reveals biases in text-to-image AI models for easy public understanding and transparency.
Explainable AI Planning for Hybrid Systems
Explore explainable AI planning techniques for hybrid systems to enhance transparency, trust, and safety in autonomous and complex environments.