AI与人类协作能提升创意新颖性,但需合理搭配以维持多样性。
Collective creativity in hybrid societies
- 将人与AI视为混合集体,协同搜索互补路径提升创意。
- 人机协作使个体产出更新颖,整体多样性反而下降。
- 混合群体表现优于单一类型,关键在成员构成与连接方式。
生成式AI正重塑文化创作与传播方式,也挑战我们对创造力的理解。研究者争论其是否丰富或削弱文化,我们认为分歧源于混淆了单一作品的创新性与群体多样性这两个不同维度。本文主张,在生成式AI背景下,创造力应被视为人与算法交互形成的混合集体的属性,而非个体特质。实证表明,人机协作能显著提升个体创意的新颖性,但可能压缩整体多样性。然而这并非必然结果:因人类与模型搜索策略互补,混合群体可超越单一类型群体,实现更高创新与多样性。机器发现的解决方案还能融入并留存于人类文化中。最终成败取决于参与者构成、比例及连接模式。问题不再是AI是否有益,而是如何组合才能兼顾个体创新与集体多样性。
原文摘要 · Abstract (English)
Generative AI is changing how cultural artifacts are created and circulated, and with it our understanding of creativity itself. Researchers disagree about whether these tools enrich or impoverish culture, and we argue that much of that disagreement comes from conflating two distinct components of creativity: novelty, a property of single artifacts, and diversity, a property of populations. We argue further that creativity in the context of generative AI is best understood as a property of hybrid collectives, or populations of interacting people and algorithms, rather than of individuals. AI-assisted ideation reliably raises the novelty of individual output while narrowing diversity in the aggregate, but this is not an inevitable consequence of putting machines in the loop. Because humans and models search in complementary ways, mixed groups can outperform and out-diversify groups of either kind alone, and machine-discovered solutions can enter human culture and persist there. What decides the outcome is composition: which agents are present, in what proportion, and how they are connected. The question is no longer whether AI helps or harms creativity, but which mixtures let individual gains accumulate without eroding collective diversity.
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