Explainable AI

Explainable AI (XAI) refers to techniques and methods in artificial intelligence designed to make the decision-making processes of AI systems understandable to humans. As AI systems, especially those using complex algorithms, can often operate like "black boxes," XAI aims to shed light on how these systems reach their conclusions. This is crucial for building trust, ensuring accountability, and allowing users to interpret and challenge AI decisions. Ultimately, XAI helps bridge the gap between advanced technology and human comprehension, promoting transparency in areas like healthcare, finance, and autonomous systems.