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人工智能创造力探究 被引量:1

Research on the Artificial Intelligence Creativity
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摘要 目前,国内外大语言模型如雨后春笋般涌现,加速了通用人工智能时代的到来。人工智能在科学、艺术等领域展现出的卓越创造力,大大推动了人类科技进步,但也给人类传统创造力带来了巨大挑战,需要对人工智能创造力的本质特征进行审视,并预测其未来应用方向。基于此,文章聚焦于人工智能创造力,首先阐释了人工智能创造力的基本内涵;接着,文章从通用领域创造力表现和专业领域创造力表现两个维度,介绍了人工智能创造力的外在表现;然后,文章从产生机制和调控机制两个方面,深入剖析了人工智能创造力的内在机制,并结合人类创造力评价经验提出了人工智能创造力的评价原则和评价方法;最后,文章分析了人工智能创造力未来的应用模式、应用前景并给出应用建议。文章的研究既可促进人工智能创造力的发展和人工智能技术的进步,也能为人类创造力的培养和提升提供一定的借鉴。 At present,large language models have sprung up at home and abroad,accelerating the arrival of general artificial intelligence era.The remarkable creativity displayed by artificial intelligence in science,art and other fields has greatly promoted the progress of human science and technology,but it has also brought huge challenges to traditional human creativity.It is necessary to examine the essential characteristics of artificial intelligence creativity and predict its future application direction.Based on this,focusing on artificial intelligence creativity,the paper firstly explained the basic connotation of artificial intelligence creativity.Then,the paper introduced the external manifestation of artificial intelligence creativity from two dimensions of general domain creativity performance and professional domain creativity performance.Meanwhile,the paper deeply analyzed the internal mechanism of artificial intelligence creativity from the aspects of generation mechanism and regulation mechanism,and proposed evaluation principles and evaluation methods of artificial intelligence creativity in combination with the evaluation experience of human creativity.Finally,the future application modes and prospects of artificial intelligence creativity were analyzed,and some suggestions were given.The research of this paper could promote the development of artificial intelligence creativity and the progress of artificial intelligence technology,and also has certain reference significance for the cultivation and improvement of human creativity.
作者 胡卫平 张阳 吕元婧 徐晶晶 HU Wei-Ping;ZHANG Yang;LV Yuan-Jing;XU Jing-Jing(Key Laboratory of Modern Teaching Technology,Ministry of Education,Shaanxi Normal University,Xi’an,Shaanxi,China 710062)
出处 《现代教育技术》 2024年第1期17-25,共9页 Modern Educational Technology
基金 2023年陕西省博士后科研资助项目“科学教育中融合人工智能大模型的人机共生创造力培养”(项目编号:1203040182) 2022年陕西省自然科学基础研究计划一般项目“动机影响在线协作学习表现的作用机制及干预策略研究”(项目编号:2022JQ-213) 陕西师范大学中央高校基本科研业务费专项资金项目“学习科学交叉学科建设”(项目编号:GK202007004)的阶段性研究成果。
关键词 人工智能 创造力 人机融合 创造性成果 artificial intelligence creativity human-machine integration creative achievements
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