【摘要】 随着生成式AI技术的普及应用，出版行业面临前所未有的机遇与挑战，关注生成式AI技术应用趋势及发展路径对行业发展至关重要。文章采用半结构式访谈法，选取43家不同类型和层级的出版机构，以中高层管理者为访谈对象，调查生成式AI技术在出版行业中的应用现状和核心挑战。研究发现，当前出版行业在整合生成式AI技术时普遍存在技术应用不足、技术落地成本高、人机协同效率滞后、商业模式不清晰等困境。对于生成式AI技术与出版行业的深度整合，受访者均表现出明显的担忧，主要包括内容质量和内容安全、版权问题和隐私风险、出版行业生存困境等。为解决上述问题，结合受访出版机构实践和受访者个人思考，文章认为出版行业应关注技术更新，推动建立相关制度规范，并积极与技术公司开展合作，同时调整自身定位以发掘新的市场需求。更多还原

【Abstract】 The application of generative AI technologies has presented the publishing industry with unprecedented opportunities and challenges,making it critical to examine the trends and developmental pathways of this technology.This study employs semi-structured interviews with mid-to-senior level managers from 43 publishing institutions of diverse types and tiers to investigate the current adoption status and core challenges of generative AI in the industry.Findings reveal pervasive dilemmas in integrating generative AI,including technological limitations,high implementation costs,inefficient human-AI collaboration,and ambiguous business models.Respondents expressed significant concerns about the deep integration of generative AI into publishing,particularly regarding content quality and security,copyright issues,privacy risks,and existential challenges facing the industry.To address these challenges,the study proposes that the publishing industry prioritize technological updates,promote institutional regulations,collaborate with tech companies,and reposition itself to explore new market demands.更多还原