Application Paths of Generative Artificial Intelligence in Empowering Product Design Innovation
生成式人工智能赋能产品设计创新的应用路径

摘要

生成式人工智能正在改变产品设计的信息处理、概念生成和工程优化方式。文章分析其在需求洞察、 方案发散、结构优化、原型验证和设计表达中的作用，结合公开工程案例讨论效率提升与性能改进，并识别 生成偏差、方案同质化、工程约束、知识产权和责任划分等问题。研究提出以设计师主导、知识库支撑、工 具链协同和多维评价为核心的实施路径，为企业形成可验证、可追溯的产品设计创新机制提供参考。

Abstract

 Generative artificial intelligence is changing the ways in which information processing, concept generation, and engineering optimization are carried out in product design. This paper analyzes its role in demand insight, scheme divergence, structural optimization, prototype verification, and design expression. Combined with publicly available engineering cases, it discusses efficiency improvement and performance enhancement, and identifies problems such as generation bias, scheme homogenization, engineering constraints, intellectual property rights, and responsibility allocation. The study proposes an implementation path centered on designer leadership, knowledge base support, toolchain collaboration, and multidimensional evaluation, providing reference for enterprises to form a verifiable and traceable product design innovation mechanism.