基于集体记忆个性化的人-人工智能艺术协同创作

Zhuohao Wu, Yanni Li, Danwen Ji, Dingming Wu, M. Shidujaman, Yuan Zhang, Chenfan Zhang
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引用次数: 0

摘要

人工智能(AI)是用数据来训练的,尤其是互联网上的文本、数字、图像、视频和音乐。这些跨越时间和空间的数据一起构成了对世界的集体记忆。最新的大规模人工智能模型让人们有机会从以前无法访问的大量集体记忆中进行创造,并以人类自然语言和独特的机器支持方式与人工智能进行交流。正如本文所展示和讨论的那样,可以为人类和人工智能建立有效和高效的工作流程,以基于世界的集体记忆和个性化的想法和品味共同创造有意义的结果。这种人类与人工智能的共同创造具有巨大潜力的新生力量,并期待着一种新的战略和理念来指导人类与人工智能的合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human-AI Co-Creation of Art Based on the Personalization of Collective Memory
Artificial intelligence (AI) is trained with data, especially texts, numbers, images, videos and music on Internet. These data all together across time and space make a collective memory of the world. The latest large-scale AI models give people a chance to create out of a large pool of this collective memory, which they won’t be able to access before, and communicate with AI in both human natural language and the unique machine supported ways. As demonstrated and discussed in this paper, effective and efficient workflows can be built up for human and AI to co-create meaningful results based on both the collective memory of the world and the personalized ideas and tastes. This kind of human-AI co-creation has a new force with great potential, and expect a new strategy and philosophy to guide human-AI collaboration.
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