协作的意图：设计者与新兴（智能）技术之间的机构
An Intent of Collaboration: On Agencies between Designers and Emerging (Intelligent) Technologies
AI总结：
研究探讨设计者与智能技术协作中的权力动态，提出通过反思创作过程、理解技术特性及调整人机关系来恢复创作自主性。
摘要：
在强大的智能技术如LLMs和文本到图像AI出现并承诺提升创意过程的同时，设计者面临保持能力和创造力的挑战。尽管生成AI能提供多样且富有诗意的结果，但其缺乏具身知识使设计者在数字工艺领域难以获得有益成果。本项目中三位设计师进行了为期三个月的实验旅程，意图与谷歌的LLM合作，探讨其如何影响设计者的创造力。研究发现，LLM与设计者之间存在机构权力动态，设计者可能轻易失去创作自主性。恢复设计者的创作自主性需要反思自身创作过程、理解特定新兴技术的结构，并有意识地调整人机关系动态。我们提出通过三个方面关注设计者的内在世界和机构 parties：对创作过程的敏感度作为认知活动；主动调查特定技术的能力；以及调整设计者与新兴技术之间的合适工作关系。
英文摘要：
Amidst the emergence of powerful intelligent technologies such as LLMs and text-to-image AIs that promise to enhance creative processes, designers face the challenges of remaining empowered and creative while working with these foreign digital partners. While generative AIs offer versatile, informative, and occasionally poetic outcomes, their lack of embodied knowledge presents an even greater challenge to designers in gaining fruitful outcomes, such as in the field of Digital Craftsmanship. In this project, three designers embarked on a three-month experimental journey with an intention to co-create with Google's LLM as a potential intelligent partner to investigate how it will influence the designers' creativity. We found that a power dynamic of agencies exists between the LLM and the designer, in which the designer can easily lose their creative agency. Regaining the designer's creative agency involves introspection into their own creative process, a structural understanding of the specific emerging technology involved, and deliberate adjustments to the dynamics of the human-technology relationship. We propose paying attention to the designer's inner world and parties of agencies when engaging with emerging intelligent technologies through three aspects: the sensitivity towards a creative process as cognitive activities; the active investigation into specific technology's capability; and the adjustment towards an appropriate working relationship between the designer and the emerging technology.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
