ChatGPT与知识生产和复用:赋能、挑战与治理  

ChatGPT and Knowledge Production and Reuse:Empowerment,Challenges and Governance

作　　者：张超[1,2] 韩虓 王芳 Zhang Chao;Han Xiao;Wang Fang

机构地区：[1]南开大学网络社会治理研究中心,天津300071 [2]南开大学商学院信息资源管理系,天津300071

出　　处：《图书与情报》2023年第3期52-60,共9页Library & Information

基　　金：国家社会科学基金重大项目“基于数据共享与知识复用的数字政府智能化治理研究”(项目编号:20ZDA039)研究成果之一。

摘　　要：大型语言模型GPT经历了多次迭代,具有多模态文本生成、推理能力强和多领域通用等优势。ChatGPT及其迭代版本多模态GPT-4的发布,颠覆了人类对人工智能生成内容(Artificial Intelligence Generated Content,AIGC)的认知,打破了只有部分人类能够生产知识的局面,促进了多元知识的融合,催生了人机双向赋能的新型知识生产方式,提升了知识搜索和知识评估的效率和质量,扩展了知识要素重新组合的空间和选择,为知识生产和复用方式提供了新的工具和手段,对人类知识生产和复用过程产生了变革性的影响。然而,技术的进步也会带来学术伦理规范争议,知识权威性降低和话语权力不平衡加剧等挑战。面对新一轮挑战,应进一步建立健全知识产权保障体系、减少对AIGC的过度依赖、加强AIGC治理、突出人类在知识生产与复用中的核心作用,以避免潜在的风险和威胁。The large language model GPT has experienced several iterations and has the advantages of multi-modal text generation,strong reasoning ability and multi-domain generality.The release of ChatGPT and its iteration,Multimodal GPT-4,overturned human perception of Artificial intelligence-generated Content(AIGC)and broke the situation that only some humans can produce knowledge.It promotes the integration of multiple knowledge,gives birth to a new knowledge production mode with human-machine two-way enabling,improves the efficiency and quality of knowledge search and knowledge evaluation,expands the space and choice of knowledge element recombination,provides new tools and means for knowledge production and reuse,and has a transformative impact on the process of human knowledge production and reuse.However,the progress of technology will also bring challenges such as the controversy over academic ethics,the reduction of knowledge authority and the intensification of discourse power imbalance.In the face of a new round of challenges,we should further establish and improve the intellectual property protection system,reduce excessive reliance on AIGC,and highlight the core role of humans in knowledge production and reuse to avoid potential risks and threats.

关 键 词：ChatGPT 人工智能生成内容 知识生产 知识复用 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] G302[自动化与计算机技术—控制科学与工程]