摘要：

目的 系统辨识科技期刊在内容科普化进程中，尤其是在人工智能等新技术应用背景下面临的特定伦理风险，探索其社会责任的实现路径与实践框架。 方法 采用规范性政策分析与框架构建法，借鉴信息传播生命周期理论，从权责界定、内容生产、传播过程与社会影响等维度辨识伦理张力；引入人工智能作为关键技术变量，运用技术伦理分析法，考察其如何放大既有风险并催生新困境；基于国家发展战略对科技期刊的功能定位，提出其社会责任的重构路径。 结果 研究揭示了科技期刊在科普化进程中面临的特定伦理风险及人工智能技术对其的催化作用；论证了科技期刊的社会责任需拓展深化为广义科学教育体系中的赋能者、科技成果社会化应用与安全转化的推动者及关键科技议题伦理的引导者；提出通过强化期刊主体伦理建设，构建风险防范机制与人工智能应用规范，并经由多主体协同与多层面治理，为其社会责任的履行构建系统性的实践框架。 结论 科技期刊应主动进行伦理考量与社会责任重构，强化主体责任与风险防范能力，确保科学知识的高质量、负责任传播，从而更好地服务于国家发展战略。

关键词: 科技期刊, 科学传播, 科学教育, 伦理风险, 人工智能治理

Abstract:

Purposes This study aims to systematically identify the specific ethical risks faced by scientific journals in the process of content popularization， particularly in the context of new technologies such as artificial intelligence， and to explore the implementation pathways and practical framework for their social responsibility. Methods Adopting normative policy analysis and framework construction methods， this study draws upon the theory of the information dissemination life cycle to identify ethical tensions across multiple dimensions， including the delineation of rights and responsibilities， content production， dissemination process， and social impact. Furthermore， by introducing artificial intelligence as a key technological variable， it utilizes techno-ethical analysis to examine how artificial intelligence （AI） amplifies existing risks and creates new dilemmas. Finally， drawing from the functional positioning of scientific journals within the national development strategy， it proposes a reconstruction path for their social responsibility. Findings This study reveals the specific ethical risks faced by scientific journals in the process of science popularization and the catalytic role of AI in this context. It argues that the social responsibility of scientific journals should be expanded and deepened， transforming them into： an enabler within the broader science education ecosystem， a facilitator for the societal application and secure transfer of scientific and technological achievements， and a guide for the ethics of key scientific and technological issues. The paper proposes a systematic practical framework for fulfilling this social responsibility by strengthening the ethical construction of the journals themselves， establishing risk prevention mechanisms， and creating norms for the application of AI， all of which is supported by multi-entity collaboration and multi-level governance. Conclusions Scientific journals should proactively undertake ethical considerations and social responsibility reconstruction， enhance their primary accountability and risk prevention capabilities， and ensure the high-quality， responsible dissemination of scientific knowledge， thereby better serving the national development strategy.

Key words: Scientific journals, Science communication, Science education, Ethical risks, AI governance