生成式人工智能赋能公共文化服务:内在逻辑、现实挑战与实践路径  

Generative Artificial Intelligence Empowering Public Cultural Services: Intrinsic Logic, Real-World Challenges, and Practical Pathways

作　　者：马帅 张洋 谢灵 蒙杰 盛雨珊 王秋香 

机构地区：[1]浙江越秀外国语学院国际商学院,浙江 绍兴 [2]浙江省工业和信息化研究院,浙江 杭州

出　　处：《人工智能与机器人研究》2025年第2期439-448,共10页Artificial Intelligence and Robotics Research

基　　金：教育部人文社会科学研究规划基金“生成式人工智能企业的社会责任评价、风险成因以及治理策略研究”(项目编号:24YJCZH209)、浙江省软科学研究计划“从‘承接地’到‘策源地’:产业转移中承接地创新能力同步提升策略研究(项目编号:2024C35078)”的研究成果之一。

摘　　要：生成式人工智能在赋能公共文化服务方面展现出巨大潜力。文章从资源管理、内容创作、用户服务以及供需对接四个维度探究了生成式人工智能赋能公共文化服务的内在逻辑。研究发现生成式人工智能通过夯实服务底座、丰富服务供给、提升服务体验以及促进服务匹配来提升公共文化服务质量,但也面临着数据迷雾、算法黑箱、内容偏差和智能鸿沟四大挑战,需要通过用户数据与版权保护、文化安全与多样性保护、算法审查与数据集优化、技术普惠与AI素养提升等手段,促进生成式人工智能在公共文化服务中的合理应用,推动公共文化服务高质量发展。Generative artificial intelligence (GAI) demonstrates significant potential in empowering public cultural services. This article explores the intrinsic logic of generative AI in enhancing public cultural services across four dimensions: resource management, content creation, user services, and supply-demand alignment. The study reveals that generative AI improves the quality of public cultural services by strengthening the service foundation, enriching service supply, enhancing user experience, and facilitating service matching. However, it faces four major challenges: data opacity, algorithmic black boxes, content bias, and the digital divide. Addressing these challenges requires measures such as user data and copyright protection, safeguarding cultural security and diversity, algorithmic audits and dataset optimization, and promoting technology inclusivity alongside AI literacy. These efforts aim to facilitate the rational application of generative AI in public cultural services and drive their high-quality development.

关 键 词：生成式人工智能 公共文化服务 实践路径 高质量发展 

分 类 号：G250[文化科学—图书馆学]