XAI System

Explainable Artificial Intelligence (XAI) aims to make the decision-making processes of AI systems more transparent and understandable, fostering trust and facilitating human-AI collaboration. Current research emphasizes developing XAI methods tailored to diverse user needs and contexts, including accessible formats for individuals with disabilities, and evaluating XAI effectiveness through rigorous user studies and formal methods to address misconceptions. This work is crucial for responsible AI deployment across various fields, from medical diagnosis to industrial applications, ensuring that AI systems are not only accurate but also interpretable and trustworthy.