The role of an interactive session in TensorFlow is to provide a computational context in which operations can be executed and tensors can be evaluated. It serves as the backbone of TensorFlow's computation graph, allowing users to define and run complex machine learning models efficiently. An interactive session is typically used when working with TensorFlow