Zhuohao Wu, Yanni Li, Danwen Ji, Dingming Wu, M. Shidujaman, Yuan Zhang, Chenfan Zhang
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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.