社会建构论下人工智能赋能数字出版的风险审视与路径优化

A Risk Review and Path Optimization of AI-Empowered Digital Publishing under Social Construction Theory

摘要: 2022年底，以ChatGPT为代表的生成式人工智能迅速出圈，推动内容生产机制、传播逻辑与受众关系发生深刻变革。人工智能在提升选题策划、内容生成、精准分发与用户服务效率的同时，也带来内容真实性弱化、版权归属模糊、算法黑箱加剧、平台权力扩张以及编辑把关功能被削弱等隐忧。基于此，本文在分析人工智能重塑数字出版运行逻辑及其现实隐忧的基础上，引入社会建构论理论，探讨编辑、平台与监管主体等如何在互动协商中共同塑造人工智能的应用边界与治理机制，并提出三重优化路径：嵌入区块链治理逻辑；建立分层分类的访问与控制机制；发挥编辑主观能动性，重塑人机协同语境下的专业把关与价值引导机制，以促进人工智能赋能数字出版的规范化、可信化与可持续发展。

Abstract: Since the end of 2022, generative artificial intelligence represented by ChatGPT has rapidly entered the mainstream, driving profound transformations in content production mechanisms, communication logics, and audience relationships. While artificial intelligence has improved the efficiency of topic planning, content generation, precision distribution, and user services, it has also given rise to concerns such as the weakening of content authenticity, ambiguous copyright ownership, the intensification of algorithmic opacity, the expansion of platform power, and the erosion of editors’ gatekeeping functions. Against this background, this paper analyzes how artificial intelligence is reshaping the operational logic of digital publishing and examines the practical risks it entails. Drawing on social construction theory, it further explores how editors, platforms, and regulatory actors jointly shape the boundaries of AI application and governance mechanisms through interaction and negotiation. On this basis, the paper proposes three optimization paths: embedding blockchain-based governance logic, establishing hierarchical and classified access and control mechanisms, and leveraging editors’ subjective agency to reconstruct professional gatekeeping and value guidance in the context of human-machine collaboration. These measures aim to promote the standardized, trustworthy, and sustainable development of AI-empowered digital publishing.