科研管理

科研管理 ›› 2025, Vol. 46 ›› Issue (12): 45-53.DOI: 10.19571/j.cnki.1000-2995.2025.12.005

• 论文 • 上一篇    下一篇

AI for X：典型模式、形成机理及演进机制

李天柱1，杨丰悦1,2，万玉净1   

  1. 1.贵州财经大学工商管理学院，贵州 贵阳550025；
    2.内江师范学院经济与管理学院，四川 内江641112
  • 收稿日期:2024-07-29 修回日期:2025-02-21 接受日期:2025-02-23 出版日期:2025-12-20 发布日期:2025-12-15
  • 通讯作者: 杨丰悦
  • 基金资助:
    国家自然科学基金项目:“创新生态系统柔性机制研究：基于科学驱动的产业”（72362004，2024.01—2027.12）；贵州省高校哲学社会科学实验室试点建设资助项目:“贵州省大数据产业创新发展实验室”（黔教哲〔2023〕02号，2023.11—2026.11）；贵州省基础研究计划（决策科学）项目:“贵州发展新质生产力路径和政策研究”（黔科合基础-JC〔2024〕重点014，2024.08—2025.08）。 

AI for X: Typical patterns, formation mechanisms, and evolutionary mechanisms

Li Tianzhu1, Yang Fengyue1,2, Wan Yujing1   

  1. 1. School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, Guizhou, China; 
    2. College of Economics and Management, Neijiang Normal University, Neijiang 641112, Sichuan, China

  • Received:2024-07-29 Revised:2025-02-21 Accepted:2025-02-23 Online:2025-12-20 Published:2025-12-15

摘要：    新一代人工智能发展应用的显著趋势是为科学研究、技术创新、艺术创作等创造性活动提供新的驱动力，形成AI for X的现象，这在实践和理论两方面均具有重要价值。本文通过现状归纳和理论思辨，将AI for X界定为“人工智能驱动的创造性活动”，并对其典型模式、形成机理及演进机制进行深入分析。研究发现：(1）AI for X具有外包、团队和委托代理三种典型模式，不同模式下人工智能参与创造性活动的广度和深度存在差异。(2）AI for X不同模式的形成机理源于人工智能与人类智能的协同创造，二者在创造性活动中形成操作者、管理者和企业家的分工与合作关系。(3）随着人工智能参与创造性活动能力的发展，AI for X呈现出“外包—团队—委托代理”模式演进过程，其中对人工智能的认知从“技术工具”向“合作伙伴”的思维转换，以及创造性活动的相对结构化，共同调节着AI for X的模式演进。本研究不仅深化了对新一代人工智能发展和应用的认识，还为实践中如何选择运用AI for X的不同模式提供参考依据。

关键词: AI for X, 协同创造, 典型模式, 形成机理, 演进机制

Abstract:    A salient trend in the evolution and application of contemporary artificial intelligence is its provision of novel impetus for creative endeavors, including scientific research, technological innovation, and artistic creation, thereby engendering the phenomenon of AI for X, which holds significant value in both practical and theoretical contexts. To this end, this paper delineated AI for X as "artificial intelligence-driven creative activities", drawing on an analysis of current trends and theoretical contemplation to examine its typical patterns, formation mechanisms, and evolutionary mechanisms. Our research made three theoretical contributions: First, AI for X encompasses three distinct patterns: outsourcing, teaming, and principalagent relationships. Moreover, the extent and depth of artificial intelligence′s engagement in creative activities differ across these patterns. Second, the formation mechanisms of these patterns are predicated on the collaborative creation between artificial and human intelligence, establishing a division of labor and cooperative relationships among operators, managers, and entrepreneurs within creative activities. Third, as artificial intelligence′s capacity to engage in creative activities advances, AI for X undergoes an evolutionary process from "outsourcing" to "team" to "principalagent" models. Furthermore, the cognitive transition of artificial intelligence from being perceived as a "technical tool" to a "collaborative partner", along with the relative structuring of creative activities, modulates the evolution of AI for X′s patterns. In conclusion, this research will not only enhance our comprehension of the development and application of contemporary artificial intelligence but also offer a reference for selecting and applying the different patterns of AI for X in practical applications. 

Key words: AI for X, collaborative creation, typical pattern, formation mechanism, evolution mechanism