专业艺术家用AI更精准创新，专家技能可迁移至生成式AI。
Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists
- 对比50位专业艺术家与普通人的实验，测试图像复制与创意生成能力。
- 艺术家复制更准、创意更丰富，证明艺术技能可迁移至AI工具。
- 顶尖AI（GPT-4o）表现接近人类，但最佳创作仍由人类领先。
生成式AI的新能力引发对人类专业性的思考：它是否缩小了专业艺术家与普通人之间的差距？还是说专业素养能提升AI使用效果？我们开展了一项预注册实验，比较50名专业艺术家与人口学特征匹配的普通人。研究团队设计两项任务——图像复制与创意图像生成，评估复制准确率与发散思维水平。实验基于自研平台，采用现代文本到图像AI模型。结果显示，艺术家在复制准确性与创意多样性上均显著优于普通人，表明专业艺术技能可有效迁移至生成式AI。我们还评估了代表性的视觉大模型GPT-4o的表现：在复制任务中与人类持平，在创意任务中平均略胜于艺术家，但从未超过顶尖人类水平。研究强调艺术技能与AI融合的重要性，预示协同创新可能重塑创意产业与艺术教育。
原文摘要 · Abstract (English)
Generative AI's novel capacities raise questions about the future role of human expertise: does AI level the playing field between professional artists and laypeople, or does expertise enhance AI use? Do the cognitive skills experts make use of in analyzing and drawing visual art also transfer to using these new tools? This pre-registered study conducts experimental comparisons between 50 professional artists and a demographically matched sample of laypeople. Our interdisciplinary team developed two tasks involving image replication and creative image creation, assessing their copying accuracy and divergent thinking. We implemented a bespoke platform for the experiment, powered by a modern text-to-image AI. Results reveal artists produced more accurate copies and more divergent ideas than lay participants, highlighting a skill transfer of professional expertise - even to the confined space of generative AI. We also explored how well an exemplary vision-capable large language model (GPT-4o) would fare: on par in copying and slightly better on average than artists in the creative task, although never above best humans. These findings highlight the importance of integrating artistic skills with AI, suggesting a potential for collaborative synergy that could reshape creative industries and arts education.
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