The distinction between generative art and AI art lies in their underlying processes and creative methodologies. Generative art relies on algorithms, where artists establish rules and parameters that guide the creation of visual or auditory compositions. These algorithms can be deterministic or stochastic, offering a blend of intention and unpredictability. On the other hand, AI art involves the direct engagement of artificial intelligence systems, where machine learning algorithms analyze data to create or mimic artistic content. While generative art often involves the artist defining rules and parameters, AI art emphasizes the machine's ability to learn and generate content autonomously based on patterns identified in extensive datasets. Both forms of art showcase the synergy between human creativity and technological innovation, yet their fundamental approaches to creation distinguish generative art's algorithmic guidance from AI art's data-driven autonomy.