Have you ever wondered how artificial intelligence (AI) models make decisions? In the rapidly evolving landscape of AI, Explainable AI (XAI) emerges as a beacon of transparency, enabling users to grasp and trust the rationale behind AI-driven outcomes. XAI isn’t just about unveiling the workings of machine learning algorithms; it’s about instilling confidence in AI...Read More

In the evolving discourse of Artificial Intelligence (AI), the terms “explainability” and “interpretability” often stir up confusion, used interchangeably without a clear consensus on their definitions. The academic landscape is rife with varied interpretations. For instance, one view sees interpretability as closely related to explanations, while another positions explainability as a broader concept encompassing all...Read More