MAIA (Multimodal Automated Interpretability Agent) is an automated system developed by MIT's Computer Science and Artificial Intelligence Lab (CSAIL) aimed at improving the interpretability of artificial intelligence models. Supported by a visual-language model and accompanied by a series of experimental tools, MAIA automates various neural network interpretability tasks. It can generate hypotheses, design experiments to test them, and refine its understanding through iterative analysis, providing deeper insights into the internal workings of AI models.