Denis discusses the importance of model-agnostic methods in explainable AI, emphasizing that tools like LIME and Shapley can be applied across various algorithms, not just transformers. He uses a cake-baking analogy to illustrate how tweaking inputs can help identify crucial components that influence outputs, highlighting the simplicity and effectiveness of understanding AI models.
