This　study　explores　how　to　use　artificial　intelligence　technology　to　assist　public　art　creation,　and　specifically　analyzes　the　entire　process　from　data　collection,　processing　to　form　transformation.　Through　case　studies　and　practical　applications,　we　have　demonstrated　the　potential　of　AI　(Artificial　Intelligence)　technology　in　artistic　creation　and　its　impact　on　artistic　expression　forms.　Specifically,　the　diversity　scores　of　artworks　generated　by　GANs　(Generative　Adversarial　Networks)　range　from　[1.2,　3.5]　to　[0.8,　2.7]　for　traditional　artworks.　The　public　satisfaction　survey　shows　that　the　average　satisfaction　rating　of　artworks　generated　by　GANs　is　8.5,　while　that　of　traditional　artworks　is　6.8.　From　the　data　conclusions　of　the　experiments,　AI-assisted　art　creation　based　on　GANs　algorithms　has　a　significant　advantage　in　terms　of　diversity,　interactivity,　environmental　adaptability,　and　public　satisfaction.　©　2024　Copyright　held　by　the　owner/author(s).