 This paper reviews the current state of artificial intelligence AIK 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 Zhong, Rui Zhong, and others.