Explainable AI (XAI)

Explainable AI aims to make the decision-making processes of AI systems transparent and comprehensible. This is particularly important in areas where AI decisions have a significant impact, such as healthcare or the financial sector. XAI techniques help to solve the "black box" problem of many AI models by providing methods for interpreting and explaining AI decisions. This promotes trust in AI systems and enables better control and improvement of the models.