 This paper reviews the current state of artificial intelligence, AI, based change detection methods. It discusses the implementation process of AI-based change detection, as well as the data sources and open data sets used for change detection. Furthermore, the general frameworks of AI-based change detection methods are reviewed and analyzed systematically. Unsupervised AI-based change detection methods are further analyzed, with particular attention paid to the networks used in these methods. Additionally, the application domains of AI-based change detection methods are classified according to their applicability. Lastly, the major challenges and prospects of AI-based change detection are discussed and delineated. This article was authored by Wen Zhongshu, Min Zhang, Rui Zhang, and others.