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生成式人工智能中脱离实体的创造力:创造性实践中提示的挑战与局限

Disembodied creativity in generative AI: challenges and limitations of prompting in creative practice.

作者信息

Casacuberta David, Guersenzvaig Ariel

机构信息

Department of Philosophy, Universitat Autonoma de Barcelona, Barcelona, Spain.

Elisava School of Design and Engineering, University of Vic-UCC, Barcelona, Spain.

出版信息

Front Artif Intell. 2025 Aug 14;8:1651354. doi: 10.3389/frai.2025.1651354. eCollection 2025.

Abstract

This paper examines some challenges of using natural language prompting in Generative AI (GenAI) for creative practices in design and the arts. While GenAI is purported to "democratize" creativity by offering a new mode of creation, we argue that it comes with a significant mortgage-particularly one in relation to expert performance, skill acquisition, and embodied engagement. Drawing from Dreyfus and Dreyfus, we show that creativity grounded in internalized expert knowledge cannot be reduced to rule-following or meaningfully externalized in instructions, i.e., prompts. Building on Polanyi, Simon, and Sennett, we posit that much of what makes creative work meaningful is tacit and intuitive, and therefore cannot be fully articulated through prompts. From the perspective of embodied and enactive cognition (Thompson, Noë, Pallasmaa), we argue that even "traditional" digital tools retain a material, bodily interface-something entirely absent from prompt-centered creation. While it may be tempting to treat GenAI systems as mere instruments, the mode of interaction they afford introduces a discontinuity: unlike analog tools or conventional software, they offer the creator significantly less control and disrupt and even erodes the feedback loop between mind, hand, and expressive material. Rather than supporting skill development, prompting risks sequestering the user in novice-level engagement. By addressing these challenges, our analysis offers a clearer view of what is at stake when generative systems are integrated into creative disciplines, and why human creators, integrating multiple creative and epistemic faculties as they see fit, must remain at the center of that process.

摘要

本文探讨了在生成式人工智能(GenAI)中使用自然语言提示以用于设计和艺术领域的创造性实践所面临的一些挑战。虽然生成式人工智能据称通过提供一种新的创作模式来“使创造力民主化”,但我们认为它伴随着巨大的代价——尤其是在专家表现、技能获取和身体参与方面。借鉴德雷福斯和德雷福斯的观点,我们表明,基于内化专家知识的创造力不能简化为遵循规则,也不能在指令(即提示)中有意义地外化。基于波兰尼、西蒙和森内特的观点,我们认为,使创造性工作有意义的许多因素是隐性和直观的,因此无法通过提示完全阐明。从具身认知和生成认知(汤普森、诺埃、帕拉斯马亚)的角度来看,我们认为即使是“传统”数字工具也保留了一种物质的、身体的界面——而以提示为中心的创作则完全没有这一点。虽然可能会倾向于将生成式人工智能系统仅仅视为工具,但它们提供的交互模式引入了一种不连续性:与模拟工具或传统软件不同,它们给予创作者的控制要少得多,会破坏甚至侵蚀思维、手和表达材料之间的反馈循环。提示不是支持技能发展,而是有将用户困在新手水平参与的风险。通过应对这些挑战,我们的分析更清晰地揭示了将生成式系统整合到创造性学科中时所涉及的利害关系,以及为什么人类创作者在根据自身情况整合多种创造性和认知能力时必须始终处于这一过程的中心。

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