Hybrid AI is an approach that combines multiple AI methods, commonly symbolic reasoning and data-driven machine learning. It aims to combine interpretability, structured knowledge, and rule-based control with adaptability and pattern learning from data. Hybrid systems are often used where transparency and scalability are both important.