With the rapid development and widespread application of artificial intelligence (AI) technology across various industries, universities face the challenge of nurturing versatile talents with interdisciplinary thinking and AI skills. Taking financial and economic colleges as an example, the authors explore the construction of an interdisciplinary "AI+" general education curriculum system. Firstly, the article analyze the current status and issues of AI-related general education courses. Furthermore, the authors propose a curriculum system consisting of five modules, thereby forming a complete and progressive teaching pathway: fundamental theory learning—subject application learning—professional application learning—practice and assessment—evaluation and updating. Finally, based on the CIPP theory, the authors suggest comprehensive evaluation from the perspectives of background, input, process, and output to assess the implementation effectiveness and practical value of the curriculum system.