Exploring SAIG Methods for an Objective Evaluation of XAI

This paper explores SAIG methods, a framework designed for the objective evaluation of Explainable Artificial Intelligence (XAI). The research aims to establish rigorous and quantifiable metrics for assessing the transparency and interpretability of AI models, which is crucial for fostering trust and ensuring accountability in real-world deployments across various industries.