Explainability Tool for NLP-based AI Systems

This project investigates the current state of Explainable AI for NLP-based AI systems in academic literature and practical applications. Its goal is to assist various stakeholders in understanding the decisions and predictions made by such systems based on their needs. For developers, this could be debugging a system, while for end users, it could be explaining the decisions to have trust in using it. The project aims to build an interactive framework where different explainability methods are identified and implemented to provide different explanations that could complement each other in delivering fine-grained explanations and analysis of the NP-based AI systems’ decisions and behavior for various stakeholders.