The Disagreement Problem: Diving Deeper Into The Complexity Explainability In Ai

This article discusses the importance of Explainable Artificial Intelligence (XAI) in building trust and understanding in complex machine learning models. It highlights the challenges and limitations of current XAI technology and the need for a framework to mitigate these issues. The ultimate goal is to be able to thoroughly explain and validate the decisions made by AI models before they can be trusted and integrated into various applications.