AI如何助创？三类关系模式说清人机协作本质
Extended Creativity: A Conceptual Framework for Understanding Human-AI Creative Relations
- 提出支持、协同、共生三类人机创作关系模式
- 按自主性与代理感双维度划分，定义三种互动形态
- 适合关注人机共创伦理与设计的学者和开发者
人工智能在提升人类创造力方面具有巨大潜力，但要实现这一目标，需更清晰地理解其作用机制。基于关系认知与分布式认知视角，本文识别出三种核心模式：支持（AI作为工具）、协同（人机互补合作）与共生（人机认知深度融合形成统一创作系统）。这些模式由两个关键维度界定：AI系统的技术自主性（独立运作与决策能力）及人类对其代理感的感知程度（是否被视为有意识或创造性伙伴）。文章探讨了不同配置对日常问题解决到范式创新等多层次创造力的影响，并讨论其在伦理、研究与未来人机创作系统设计中的意义。
原文摘要 · Abstract (English)
Artificial Intelligence holds significant potential to enhance human creativity. However, achieving this vision requires a clearer understanding of how such enhancement can be effectively realized. Drawing on a relational and distributed cognition perspective, we identify three fundamental modes by which AI can support and shape creative processes: Support, where AI acts as a tool; Synergy, where AI and humans collaborate in complementary ways; and Symbiosis, where human and AI cognition become so integrated that they form a unified creative system. These modes are defined along two key dimensions: the level of technical autonomy exhibited by the AI system (i.e., its ability to operate independently and make decisions without human intervention), and the degree of perceived agency attributed to it (i.e., the extent to which the AI is experienced as an intentional or creative partner). We examine how each configuration influences different levels of creativity from everyday problem solving to paradigm shifting innovation and discuss the implications for ethics, research, and the design of future human AI creative systems.
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