认知神经科学、人工智能与创造力——第十届全国创造力学术研讨会综述(下)  

Cognitive Neuroscience,AI and Creavitiy:The Tenth National Symposium on Creativity(Part Two)

作　　者：白新阳 刘芯田 陈璐萍 陈芊 刘睿祺 刘威 赵庆柏 衣新发[1] BAI Xinyang;LIU Xintian;CHEN Luping;CHEN Qian;LIU Ruiqi;LIU Wei;ZHAO Qingbai;YI Xinfa(Key Laboratory of Modern Teaching Technology of the Ministry of Education,Shaanxi Normal University,Xi’an 710062;School of Psychology,Central China Normal University,Wuhan 430079)

机构地区：[1]陕西师范大学现代教学技术教育部重点实验室,中国基础教育质量监测协同创新中心陕西师范大学分中心,西安710062 [2]青少年网络心理与行为教育部重点实验室,华中师范大学心理学院,湖北省人的发展与心理健康重点实验室,武汉430079

出　　处：《基础教育参考》2024年第10期72-80,共9页Basic Education Review

摘　　要：第十届全国创造力学术研讨会集中讨论了创造力研究的前沿领域,包括创造力的认知神经机制以及人工智能(AI)对创造力的影响。研究者通过应用事件相关电位(ERP)、功能近红外光谱(fNIRS)和功能磁共振成像(fMRI)等先进技术,深入探讨了创造力在个体和团队层面的认知神经机制。这些研究揭示了个体创造力的神经基础和团体创造力的合作基础,详细分析了影响创造力的各种因素,从脑部活动的动态变化到团队协作中的神经机制。在AI与创造力的关系方面,会议讨论了几个重要议题,其中包括:公众对AI的焦虑,涉及AI可能对创造力产生负面影响的担忧,对AI替代人类创造力和创新能力的忧虑;探讨了AI与人类组成的虚拟团队在创造力协作中的潜力,分析了这种跨界合作如何促进创新以及面临的挑战;讨论了AI对创造性产品的评价方法,包括如何利用AI进行创意生成的质量评估和优化,以及AI评价在创意产业中的实际应用。此次研讨会不仅提供了对创造力认知神经机制的新理解,还为AI在创造力领域的应用提供了深刻见解。通过对这些前沿话题的全面探讨,会议为未来创造力研究和AI应用的发展方向提供了宝贵的理论基础和实践指导。The 10th National Conference on Creativity focused on cutting-edge areas of creativity research,including the cognitive neural mechanisms of creativity and the impact of artificial intelligence(AI)on creativity.At the conference,researchers applied advanced technologies such as Event-Related Potentials(ERP),Functional Near-Infrared Spectroscopy(fNIRS),and Functional Magnetic Resonance Imaging(fMRI)to explore the cognitive neural mechanisms of creativity at both individual and team levels.These studies revealed the neural basis of individual creativity and the collaborative foundation of team creativity,providing detailed analyses of the factors affecting creativity,from dynamic changes in brain activity to the neural mechanisms involved in team collaboration.Regarding the relationship between AI and creativity,the conference addressed several key topics.Firstly,AI anxiety emerged as a significant issue,reflecting public concerns about the potential negative impact of AI on creativity.These concerns include fears that AI might replace human creativity and innovation capabilities.Secondly,researchers explored the potential of virtual teams composed of AI and humans in collaborative creativity,analyzing how this cross-disciplinary cooperation can foster innovation and the challenges it may face.Lastly,the conference discussed methods for evaluating creative products using AI,including how AI can be used to assess and optimize the quality of creative outputs and its practical applications in the creative industry.The conference not only provided new insights into the cognitive neural mechanisms of creativity but also offered profound perspectives on the application of AI in the field of creativity.By comprehensively addressing these cutting-edge topics,the conference laid a valuable theoretical and practical foundation for the future development of creativity research and AI applications.

关 键 词：创造力 认知神经科学 AI TDCS FNIRS 

分 类 号：G44[哲学宗教—心理学]