Brainstorm on artificial intelligence applications and evaluation of their commercial impact

Despite its rapid development, the artificial intelligence (AI) has not been deeply applied in art teaching. Hence, this paper attempts to design strategies for applying AI in art teaching. For this purpose, the authors reviewed the current application status of AI in art teaching and summed up the problems with these applications. Next, the promotive role of AI in art teaching was analyzed in detail, and three strategies were developed to promote AI applications in modern art teaching, namely: expand the adaptability of AIbased art teaching; improve the intelligent teaching mode of art teaching; and enhance the artistic experience and atmosphere of AI-based art teaching. At the same time, to evaluate the application effect of AI in art teaching, a performance analysis model was designed based on analytical hierarchy process (AHP) and grey clustering. The proposed model can quantify the application effect of AI in art teaching, and it has a good application potential.