对基于提示的生成式人工智能进行衍射分析

ArXiv Pub Date : 2024-03-04 DOI:10.1145/3613904.3641971
Nina Rajcic, M. T. Llano, Jon McCormack
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引用次数: 0

摘要

基于提示的生成式人工智能的最新发展引起了人们对未来文化生产的伦理问题、经济影响和后果的讨论。随着生成式图像在主流社会中的普及,并主要由新兴的行业领导者主导,我们鼓励人工智能社区扮演探究者的角色;研究生成式人工智能有可能、并且已经在增强人类创造力的多种方式。在本文中,我们进行了一项衍射分析,探索基于提示的界面在艺术家创作实践中的潜在作用。在为期两周的时间里,七位视觉艺术家获得了稳定扩散的个性化实例,并根据他们的作品数据集进行了微调。在接下来的衍射分析中,我们确定了参与者采用的两种主要模式:人工智能用于构思和人工智能用于制作。此外,我们还为生成式人工智能界面的未来发展提出了一些伦理设计方面的考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards A Diffractive Analysis of Prompt-Based Generative AI
Recent developments in prompt-based generative AI has given rise to discourse surrounding the perceived ethical concerns, economic implications, and consequences for the future of cultural production. As generative imagery becomes pervasive in mainstream society, dominated primarily by emerging industry leaders, we encourage that the role of the CHI community be one of inquiry; to investigate the numerous ways in which generative AI has the potential to, and already is, augmenting human creativity. In this paper, we conducted a diffractive analysis exploring the potential role of prompt-based interfaces in artists' creative practice. Over a two week period, seven visual artists were given access to a personalised instance of Stable Diffusion, fine-tuned on a dataset of their work. In the following diffractive analysis, we identified two dominant modes adopted by participants, AI for ideation, and AI for production. We furthermore present a number of ethical design considerations for the future development of generative AI interfaces.
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