AI能真正创造吗?作者从艺术与工程双重视角给出否定答案。
Can an AI System Be Creative? A Critical Perspective from Art and Engineering
- 基于创造力三要素和三类型框架,分析AI能力边界
- 指出AI仅具组合式创造力,无法实现根本性变革创新
- 提出人机协同创作新范式,实证展示合作可能性
本文从一位兼具电子工程、机器学习背景与长期艺术实践(演员、导演、作曲、视觉艺术)的跨领域研究者视角,探讨人工智能是否具备创造性。基于玛格丽特·博登的创造力理论——包括新颖性、意外性和价值三要素,以及组合型、探索型、转化型三种创造过程——论证当前AI系统在最强意义上不具备创造力。尽管在组合型创造上表现真实有效,但在探索型创造中存在显著局限,且完全无法实现转化型创造。核心限制不在于缺乏新颖性,而在于缺少偶发性、偶然性或意外事件的机制,也无主体立场去识别并接纳这些随机因素。论文最后提出一种现实且可生成的人机协同创作模型,并通过具体实验加以说明。本文本身即为该论点的实践示范:其撰写过程正是人类与AI协作的产物,方法细节见文首说明。
原文摘要 · Abstract (English)
This paper examines the question of whether artificial intelligence (AI) systems can be creative, approached from the dual perspective of a researcher trained in electrical engineering, pattern recognition, machine learning, and neural networks, who has also spent most of his life engaged in the arts as actor, stage and film director, writer, composer, and visual artist, and in philosophy. Drawing on Margaret Boden's foundational framework, both her three properties of creativity (novelty, surprise, and value) and her three types of creative processes (combinatorial, exploratory, and transformational), the paper argues that AI systems are structurally incapable of creativity in its strongest sense. While they exhibit genuine capability in the domain of combinatorial creativity, they are significantly bounded in exploratory creativity, and fundamentally incapable of transformational creativity. The paper further argues that the most important limitation of current AI systems is not the absence of novelty per se, but the absence of any mechanism for serendipity, accident, or the unexpected, all of which play a central role in the phenomenology of creativity, and the absence of any subject position from which to recognize and welcome such chance events. The paper concludes by proposing a model of human, AI creative collaboration that is both realistic and generative, illustrated by several concrete experiments. The paper is itself a demonstration of the thesis it advances: it was composed through a deliberate human AI collaborative process, which is described in the methodological note that opens it.
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