Tag: AI Explainability: Bridging

The rise of artificial intelligence (AI) and machine learning (ML) is transforming industries, automating tasks, and driving innovation at an unprecedented pace. However, as AI systems become more complex and integrated into critical decision-making processes, a crucial question arises: can we truly understand how these systems arrive at their conclusions? AI explainability, the ability to understand and interpret the inner workings of AI models, is no longer a luxury but a necessity for building trust, ensuring fairness, and promoting responsible AI development. Understanding AI Explainability What is AI Explainability? AI explainability, often referred to as Explainable AI (XAI), is the set of techniques and methods that make AI systems understandable to humans. It goes beyond simply kno...