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arXiv 2412.14077cs.CYcs.AI

与机器对话及与艺术界对话:评估面向文化情境创造力的生成式AI

Dialogue with the Machine and Dialogue with the Art World: Evaluating Generative AI for Culturally-Situated Creativity

Google Research(谷歌研究院);Google DeepMind(谷歌DeepMind);USC School of Architecture(南加州大学建筑学院);Farbod Mehr Studio(法博德·梅尔工作室);MIT(麻省理工学院);Cornell University(康奈尔大学)

Rida Qadri, Piotr Mirowski, Aroussiak Gabriellan, Farbod Mehr, Huma Gupta, Pamela Karimi, Remi Denton

AI总结:

本文提出一种基于对话的方法评估生成式AI在文化情境创意实践中的表现,通过与艺术界专家及机器的双重对话,结合波斯湾非西方艺术案例研究,为构建更具包容性的多元艺术界AI系统提供指导。

摘要:

本文提出将对话作为评估面向文化情境创意实践的生成式AI工具的方法,该方法认可艺术的社会情境本质。借鉴社会学家Howard Becker的“艺术界”概念,此方法将传统AI与创造力评估的范围扩展到了基准测试、众包工人用户研究或艺术家焦点小组之外。我们的方法包含两种相互启发的对话:1)“与艺术界对话”,让艺术家与艺术史学家、策展人和档案管理员等专家进行交流;2)“与机器对话”,通过艺术家和评论家主导的、使用最先进生成式AI工具的结构化实验来促进。我们通过一个沉浸于非西方艺术界(特别是波斯湾地区)的艺术家与专家的案例研究,展示了该方法的价值。我们追溯了这些对话如何帮助创建具有丰富文化内涵且情境化的评估形式,以评估生成式AI的表征可能性,这种评估模仿了生成式艺术品在更广泛艺术生态系统中的接受过程。让艺术家与评论者对话也使艺术家能够调整对这些工具的使用,以回应其文化和创意语境。我们的研究可为生成式AI研究人员提供对技术、人类创造力与艺术界社会政治之间复杂动态的理解,从而为多元艺术界构建更具包容性的机器。

英文摘要:

This paper proposes dialogue as a method for evaluating generative AI tools for culturally-situated creative practice, that recognizes the socially situated nature of art. Drawing on sociologist Howard Becker's concept of Art Worlds, this method expands the scope of traditional AI and creativity evaluations beyond benchmarks, user studies with crowd-workers, or focus groups conducted with artists. Our method involves two mutually informed dialogues: 1) 'dialogues with art worlds' placing artists in conversation with experts such as art historians, curators, and archivists, and 2)'dialogues with the machine,' facilitated through structured artist- and critic-led experimentation with state-of-the-art generative AI tools. We demonstrate the value of this method through a case study with artists and experts steeped in non-western art worlds, specifically the Persian Gulf. We trace how these dialogues help create culturally rich and situated forms of evaluation for representational possibilities of generative AI that mimic the reception of generative artwork in the broader art ecosystem. Putting artists in conversation with commentators also allow artists to shift their use of the tools to respond to their cultural and creative context. Our study can provide generative AI researchers an understanding of the complex dynamics of technology, human creativity and the socio-politics of art worlds, to build more inclusive machines for diverse art worlds.

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。

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