Explainable AI (XAI)

Explainable AI (XAI) refers to methods and techniques that help make artificial intelligence systems more understandable to humans. While traditional AI models, like deep learning, can produce accurate results, they often act like "black boxes," making it difficult to see how they reach decisions. XAI aims to illuminate this process, providing insights into the reasoning behind AI outputs. This transparency is vital for building trust, ensuring fairness, and enabling users to understand AI's limitations, ultimately improving collaboration between humans and machines.