Explainability and transparency are important terms in technology and artificial intelligence. Explainability means being able to understand how a system or software made a decision. For example, if an app recommends a video, explainability helps you know why that video was chosen.Transparency means the system is open and clear about how it works. This includes showing the data it uses, how it processes information, and any possible limitations.Why are they important?They build trust—users know the system is fair.They help people learn and use technology properly.