Tag: explainable AI
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Human-Centered Evaluation of Shapley XAI in High-Stakes AI
Explore a human-focused audit of Shapley XAI benchmarks, revealing gaps in AI explanations and boosting decision confidence in risk settings.
Feature Attribution Benefits in Supervised Contrastive Learning
Explore how supervised contrastive learning improves feature attribution for better model interpretability, robustness, and trustworthiness in AI systems.
Explainable LLM Dialogue System for Student Behavior Diagnosis
Discover how an explainable LLM-based dialogue system enhances teacher trust and accuracy in diagnosing student problem behaviors.
Human-Centered XAI: Learning Theories & Future Challenges
Explore how learning theories enhance human-centered XAI, boosting transparency, trust, and user engagement while addressing future challenges.
Explainable AML Triage Using LLMs for Evidence & Checks
Discover how explainable AML triage with LLMs improves evidence retrieval, counterfactual checks, and compliance in transaction monitoring.