如何将文本到图像生成人工智能转化为中介行动
IEEE computer graphics and applications
|January 29, 2024
概括
生成型人工智能 (genAI) 工具重塑了人类在艺术中的创造力,挑战了现有的工具使用和控制理论. 这些先进的系统影响中介行动和社会动态.
科学领域:
- 人与计算机的交互
- 艺术理论 艺术理论
- 认知科学 认知科学
背景情况:
- 文本到图像生成型人工智能 (genAI) 代表了一类新的创意工具.
- 中介作用理论解释了工具如何影响人类的认知和行为.
- 现有的框架很难完全涵盖高级 genAI 系统的功能.
研究的目的:
- 通过介导行动理论的镜头来检查艺术中人类-基因AI关系.
- 评估调解行动理论对变革性genAI工具的适应性.
- 探索基因AI在创意领域和新兴社会动态中的伦理影响.
主要方法:
- 概念分析将genAI的能力与中介行动理论相结合.
- 检查genAI作为学习,共同创作和多式联络的混合系统.
- 讨论众包数据和新兴特性在genAI中的作用.
主要成果:
- 在中介行动中,GenAI系统挑战了对工具和控制位置的传统概念.
- 这些系统可以提炼和超越人类的创造力,提出独特的理论挑战.
- 基因人工智能引入了关于著作权,偏见和社会影响的复杂伦理考虑.
结论:
- 调解作用理论需要适应,以考虑到基因AI的独特性质.
- 基因人工智能工具从根本上改变了创作过程和人类-人工智能在艺术中的合作.
- 基因人工智能的更广泛影响延伸到社会结构和日常生活.
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