数字文化新范式与人文创新研究

目的 针对传统文化产业存在的人工成本相对高昂、物资损耗相对较大等问题，利用科技赋能企业服务，从而节省人力资源、降低设计门槛、提高设计效率、灵活对接生产、服务更广人群。方法 将人工智能应用于文化产业，从智能设计和智能制造两方面，拆分文化产业服务环节。一方面，将智能设计具体化为平面设计和结构设计，再进一步将平面设计划分为智能配色和智能排版两个部分。另一方面，智能制造主要基于大数据来调整工厂产能，提高订单处理效率，减少不必要的人力、物力损耗。结果 浙江省北大信息技术高等研究院和大胜达人工智能包装设计联合实验室研发了人工智能设计师小方，并开发出包含AI设计、配材推荐、印前检测、智能供应链、订单管理、产能分配等环节在内的一体化文化设计服务模式，为非专业用户提供了从设计到生产的全流程新智造服务。结论 人工智能在文化产业领域实现了需求分析理解、一键生成设计方案、智能印前检测、灵活对接工厂、随时查询订单状态等功能创新，获得了高效迅捷、所见即所得的竞争优势。同时，人工智能技术尚未触达人类的情感层面，无法捕捉服务对象的人性温度，在人文关怀领域仍有进步空间。

New Paradigm of Digital Culture and Humanistic Innovation

The work aims to empower the enterprise services with technology in view of the relatively high labor costs and large material consumption in the traditional cultural industry, so as to save workforce resources, lower design threshold, improve design efficiency, flexibly dock production, and serve a wider range of people. Artificial intelligence was applied to the cultural industry and the cultural industry service link was divided into intelligent design and intelligent manufacturing. On the one hand, intelligent design was embodied in graphic design and structure design, and graphic design was further divided into two parts:intelligent color matching and intelligent typesetting. On the other hand, based on big data, intelligent manufacturing was mainly used to adjust factory capacity, improve order processing efficiency, and reduce unnecessary manpower and material losses. The Artificial Intelligence Packaging Design Joint Laboratory of the Advanced Institute of Information Technology, Peking University developed AI designer Xiao Fang. The integrated cultural design service pattern was developed, including AI design, material recommendation, prepress inspection, intelligent supply chain, order management, capacity allocation and other sections, providing non-professional users with new intelligent manufacturing services from design to production. Artificial intelligence technology has realized functional innovations in the field of cultural industry, such as demand analysis and understanding, one-click design scheme generation, intelligent prepress detection, flexible docking factory, and query of order status at any time, and has obtained an efficient, fast and WYSIWYG competitive advantage. At the same time, artificial intelligence technology has not yet reached the emotional level of human and is unable to capture the humanistic temperature of service recipients. There is still room for progress in the field of humanistic care.