AI-Generated　Content　(AIGC)　is　a　revolutionary　engine　for　digital　content　generation.　In　the　area　of　art,　AI　has　achieved　remarkable　advancements.　AI　is　capable　of　not　only　creating　paintings　or　music　comparable　to　human　masterpieces,　but　it　also　understands　and　appreciates　artwork.　For　professionals　and　amateurs,　AI　is　an　enabling　tool　and　an　opportunity　to　enjoy　a　new　world　of　art.　This　book　aims　to　present　the　state-of-the-art　AI　technologies　for　art　creation,　understanding,　and　evaluation.　The　contents　include　a　survey　on　cross-modal　generation　of　visual　and　auditory　content,　explainable　AI　and　music,　AI-enabled　robotic　theater　for　Chinese　folk　art,　AI　for　ancient　Chinese　music　restoration　and　reproduction,　AI　for　brainwave　opera,　artistic　text　style　transfer,　data-driven　automatic　choreography,　Human-AI　collaborative　sketching,　personalized　music　recommendation　and　generation　based　on　emotion　and　memory　(MemoMusic),　understanding　music　and　emotion　from　the　brain,　music　question　answering,　emotional　quality　evaluation　for　generated　music,　and　AI　for　image　aesthetic　evaluation.　The　key　features　of　the　book　are　as　follows:　AI　for　Art　is　a　fascinating　cross-disciplinary　field　for　the　academic　community　as　well　as　the　public.　Each　chapter　is　an　independent　interesting　topic,　which　provides　an　entry　for　corresponding　readers.　It　presents　SOTA　AI　technologies　for　art　creation　and　understanding.　The　artistry　and　appreciation　of　the　book　is　wide-ranging　-　for　example,　the　combination　of　AI　with　traditional　Chinese　art.　This　book　is　dedicated　to　the　international　cross-disciplinary　AI　Art　community:　professors,　students,　researchers,　and　engineers　from　AI　(machine　learning,　computer　vision,　multimedia　computing,　affective　computing,　robotics,　etc.),　art　(painting,　music,　dance,　fashion,　design,　etc.),　cognitive　science,　and　psychology.　General　audiences　can　also　benefit　from　this　book.　©　2025　selection　and　editorial　matter,　Luntian　Mou;　individual　chapters,　the　contributors.