从文本到图像的生成式人工智能如何改变媒介行动》(How Text-to-Image Generative AI is Transforming Mediated Action.

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
IEEE Computer Graphics and Applications Pub Date : 2024-03-01 Epub Date: 2024-03-25 DOI:10.1109/MCG.2024.3355808
Henriikka Vartiainen, Matti Tedre
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引用次数: 0

摘要

本文探讨了艺术领域中人类与文本到图像生成模型(生成式人工智能/genAI)之间错综复杂的关系。文章以 "中介行动 "理论为框架来阐述这种关系--这一理论已得到广泛认可,它将工具如何塑造人类的思想和行动概念化。文章将 genAI 系统描述为具有学习、共同创造和交流能力的多模态混合系统,这些系统提炼并依赖于大量人群的智慧和创造力,有时甚至可以超越他们。这些系统无法从理论上描述工具和控制点在中介行动中的作用。文章提出的问题是,该理论能在多大程度上适应 genAI 工具在创造性领域和艺术中的变革潜力,以及它所产生的新兴社会动态的伦理。文章最后讨论了 genAI 为媒介行动领域带来的根本性变化和更广泛的影响,以及最终对我们日常生活结构的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Text-to-Image Generative AI Is Transforming Mediated Action.

This article examines the intricate relationship between humans and text-to-image generative models (generative artificial intelligence/genAI) in the realm of art. The article frames that relationship in the theory of mediated action-a well-established theory that conceptualizes how tools shape human thoughts and actions. The article describes genAI systems as learning, cocreating, and communicating, multimodally capable hybrid systems that distill and rely on the wisdom and creativity of massive crowds of people and can sometimes surpass them. Those systems elude the theoretical description of the role of tools and locus of control in mediated action. The article asks how well the theory can accommodate both the transformative potential of genAI tools in creative fields and art, and the ethics of the emergent social dynamics it generates. The article concludes by discussing the fundamental changes and broader implications that genAI brings to the realm of mediated action and, ultimately, to the very fabric of our daily lives.

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来源期刊
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications 工程技术-计算机:软件工程
CiteScore
3.20
自引率
5.60%
发文量
160
审稿时长
>12 weeks
期刊介绍: IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.
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