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

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.