AI 中文总结
本研究通过分析多国行业媒体的89篇文章，指出图书出版领域AI报道存在能力盲区，提出设立常设AI报道板块等改进建议。
AI 中文摘要
本快速证据综述对2025年11月1日至2026年8月1日期间发表的89篇关于人工智能（AI）与图书出版的文章进行了分析。该目的性语料库涵盖了英语、汉语、德语、法语、西班牙语、葡萄牙语、意大利语和日语的出版报道、主流报纸的图书报道，以及专业技术评论员的内容。每篇文章都从主题、立场、技术深度和主导视角四个维度进行了编码。媒体并非对此保持沉默，也不只是持敌对态度：30%的文章采用风险框架，42%为混合框架，28%为机会框架。汉语报道明显偏向实操性和机会导向；专业评论的技术深度远高于行业报道。然而，语料库仍集中在版权、许可、治理、读者信任、工作流程采用和产品公告等方面。仅有10篇文章提供了持续的技术审视，且没有一篇以对前沿实验室研究人员或评估工程师的直接采访为核心。核心差距在于缺乏将模型架构与评估同出版决策关联起来的报道：包括能力引出、检索增强生成（RAG）、提示注入、智能体可靠性、推理经济学、模型漂移、溯源、读者研究和可复现工作流程评估。本报告建议设立常设AI报道板块、定期进行实验室采访、建立声明台账、共享测试协议、组建读者小组以及聘请技术专栏作家。补充材料提供了完整的编码语料库、声明台账、术语表和BibTeX数据库。
英文摘要
This rapid evidence review examines 89 articles about artificial intelligence (AI) and book publishing published from November 1, 2025 through August 1, 2026. The purposive corpus spans English-, Chinese-, German-, French-, Spanish-, Portuguese-, Italian-, and Japanese-language publishing coverage; major-newspaper book coverage; and specialist technology commentators. Each item was coded for topic, stance, technical depth, and dominant voice. The press is neither silent nor simply hostile: 30% of items are risk-framed, 42% mixed, and 28% opportunity-framed. Chinese coverage is markedly operational and opportunity-oriented; specialist commentary is substantially deeper than trade reporting. Yet the corpus still clusters around rights, licensing, governance, reader trust, workflow adoption, and product announcements. Only ten items offer sustained technical scrutiny, and none centers a direct interview with a frontier-lab researcher or evaluation engineer. The central gap is reporting that connects model architecture and evaluation to publishing decisions: capability elicitation, RAG, prompt injection, agent reliability, inference economics, model drift, provenance, reader research, and reproducible workflow evaluation. The report recommends a standing AI beat, recurring lab interviews, a claims ledger, shared test protocols, reader panels, and technical columnists. The supplement supplies the full coded corpus, claim ledger, glossary, and BibTeX database.
Comments7 pages, 2 figures. 15-page Supplemental Information, coded 89-item corpus, crosstabs, BibTeX database, and citation audit included as ancillary files
