Art and the artificial

Journal of Creativity Pub Date : 2023-11-10 DOI:10.1016/j.yjoc.2023.100069

Suk Kyoung Choi , Steve DiPaola , Liane Gabora

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引用次数: 0

Abstract

This paper explores the philosophical implications of machine learning text-to-image synthesis in a practice-based phenomenology of the computational poetics of a visual art process. It is hypothesized that artificial intelligence (AI) facilitated reflective image development fosters an anticipatory esthetics in creative interactivity. The concept of AI-mediated “perspectival affordance” is introduced and its application to affective computing design emphasized. It is proposed that positioning intelligent systems as collaborative creativity tools promotes a dynamic interplay that envisions creativity as an anticipatory system, conceived of as those systems where exchange between artist and tool is mediated by future-oriented affective projection upon the system. The paper aims to establish a cognitive framework for AI-mediated creativity grounded in anticipatory interactivity, enhancing understanding of embodied cognition as mediated by AI in human-centered creativity support systems.

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艺术与人工

本文探讨了机器学习文本到图像合成在基于实践的视觉艺术过程计算诗学现象学中的哲学含义。据推测，人工智能(AI)促进了反思性图像的发展，在创造性互动中培养了一种预期美学。介绍了人工智能介导的“透视能力”概念，并强调了其在情感计算设计中的应用。有人提出，将智能系统定位为协作创造力工具，促进了一种动态的相互作用，将创造力设想为一种预期系统，被认为是艺术家和工具之间的交流通过面向未来的情感投射在系统上进行调解的系统。本文旨在建立基于预期互动的人工智能介导的创造力的认知框架，增强对人工智能在以人为中心的创造力支持系统中介导的具身认知的理解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Creativity

CiteScore

2.10

自引率

0.00%

发文量