是协作者也是创造者?AI-人类协同创新中AI的作用&#x0002A;

周芊竹; 张姬毓; 及灿灿; 苏佳豪; 王禹柔; 李亚丹

doi:10.16719/j.cnki.1671-6981.20250604

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心理科学 ›› 2025, Vol. 48 ›› Issue (6) : 1333-1345. DOI: 10.16719/j.cnki.1671-6981.20250604

计算建模与人工智能

是协作者也是创造者?AI-人类协同创新中AI的作用^*

周芊竹, 张姬毓, 及灿灿, 苏佳豪, 王禹柔, 李亚丹^*

作者信息 +

Collaborator or Creator? The role of AI in AI-Human Collaborative Creativity

Zhou Qianzhu, Zhang Jiyu, Ji Cancan, Su Jiahao, Wang Yurou, Li Yadan

Author information +

文章历史 +

摘要

创造力是驱动个体成长与社会繁荣的永恒引擎。人工智能（artificial intelligence, AI）从人类创造中产生,AI-人类协同创新也随之而来。目前关于AI-人类协同创新的研究分散于各领域,缺乏对AI-人类协同创新内在机制和规律的系统认识,难以充分发挥AI在创造性活动中的优势。因此有必要在明确概念的基础上,总结AI-人类协同创新研究并构建具有理论深度的认识框架。研究首先阐明了AI-人类协同创新的内涵,分析了不同类型的AI产品在创造力水平和协同创新能力方面的表现,其次梳理归纳了AI-人类协同创新的理论和实证研究,提出“支持-促进-合作-生成”的认识框架,以系统分析AI在AI-人类协同创新中的作用,并解析影响AI-人类协同创新的主要因素,最后展望了AI-人类协同创新未来的研究方向。

Abstract

Creativity is an inexhaustible driving force for individual and social development. With the advent of artificial intelligence (AI), AI-human collaborative creativity has become a reality. At present, studies on AI-human collaborative creativity are scattered across various fields and lack a systematic analysis of their internal mechanisms. This gap hinders the full utilization of AI in creative activities.
AI-human collaborative creativity is defined as the process in which AI assists humans, AI and humans enhance each other, to collaborate effectively and engage in close cooperation to achieve creative outcomes. Research on AI-human collaborative creativity primarily focuses on four domains of AI: robotics, virtual AI, embedded AI, and intelligent devices in extended reality. Different AI products exhibit varying levels of creativity and collaborative creativity capabilities. These AI products play different roles in the AI-human collaborative creativity process.
To conduct an in-depth analysis of the role of AI in AI-human collaborative creativity, we propose a cognitive framework of "support-promotion-cooperation-generation ". In the domain of AI-supported human creativity, AI does not engage in creative activities and merely executes mechanical and repetitive tasks. As an auxiliary technology, AI frees people from heavy workloads to focus on creative work. In the domain of AI-enhanced human creativity, AI participates in the creative process, but its contribution is less than that of human. AI enhances individual daily creativity through bottom-up process (e.g., creative scaffolding, multisensory stimulation, and knowledge sharing) and top-down process (e.g., creative self-efficacy and self-regulated learning). In addition, AI contributes to prediction, identification, and selection in scientific creativity, while it enhances inspiration in artistic creativity. Besides, AI expands associations in divergent thinking and supports evaluation and selection in convergent thinking. In the domain of AI-human cooperative creativity, AI serves as an agent of creativity, with its contribution equal to that of human in the creative process. AI and human cooperate as independent entities to create, which can be divided into two forms: simultaneous creation (e.g., Shimon/LuminAI collaborate with individuals to create music/dance simultaneously) and alternating creation (e.g., AI and individuals take turns composing poetry). AI relies on data consistency and excels at exploratory creativity, while humans are better at transformational creativity, with the ability to shift across different dimensions. Due to their distinct characteristics, the cooperation can lead to complementary advantages in creativity. In the domain of AI-generated creativity, AI serves as an agent of creativity, contributing more than humans during the creative process. The originality performance of ChatGPT4 can surpass that of average individuals and other generative artificial intelligence (GAI) (e.g., ChatGPT3 and copy.ai). GAI is also capable of independently engaging in scientific and artistic creation. However, since AI cannot construct interpretations based on sensory experience and its writing tends to be homogenized, its performance in tasks such as Figural Interpretation Quest and creative writing is generally inferior to that of individuals.
There are some influencing factors of AI-human collaborative creativity. First, individual factors include AI perception, personal abilities, individual creativity, and individuals’ views on GAI. Second, the AI aspects include temperature parameters, out-of-distribution parameters, robot traits, and sample learning. Lastly, organizational factors include organizational preparation and cohesion.
Building on a comprehensive review of existing literature, future research can delve into the following aspects. First of all, the impact of AI-influenced emotional and cognitive factors on creativity still requires further investigation. AI may negatively impact individual creativity through cognitive interference, the emergence of STARA awareness, the creation of information cocoons, and the use of similar elements in text and artistic creation. Therefore, it is crucial to examine the potential negative impact of AI on creativity. Furthermore, future research should focus on exploring the behavioral and cognitive neural mechanisms through which AI promotes human creativity. Additionally, it's essential to focus on the ethical principles of AI-human collaborative creativity.

导出引用

周芊竹, 张姬毓, 及灿灿, 苏佳豪, 王禹柔, 李亚丹. 是协作者也是创造者?AI-人类协同创新中AI的作用^*[J]. 心理科学. 2025, 48(6): 1333-1345 https://doi.org/10.16719/j.cnki.1671-6981.20250604

Zhou Qianzhu, Zhang Jiyu, Ji Cancan, Su Jiahao, Wang Yurou, Li Yadan. Collaborator or Creator? The role of AI in AI-Human Collaborative Creativity[J]. Journal of Psychological Science. 2025, 48(6): 1333-1345 https://doi.org/10.16719/j.cnki.1671-6981.20250604

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