用艺术可视化伦理理论，揭示生成式AI中的道德复杂性
Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art
- 以艺术为媒介，将五类伦理理论转化为图像
- 专家评估确认八种核心主题，关联社会与学习经验
- 适合关注AI伦理、人机交互与批判性技术研究者
伦理理论与生成式AI（GenAI）是持续演进的动态概念。本文通过部分GenAI模型探索伦理的可视化表达，拓展视觉伦理领域。借助艺术作为批判性探究手段，并以万花筒为隐喻激发道德想象力。通过对10位伦理学专家的形成性访谈，确立了五类伦理理论基础，并利用文本到图像（T2I）GenAI模型将其转化为视觉图像。这些图像被汇编为Kaleidoscope Gallery，经相同专家评估后，揭示出八个关键主题，凸显道德、社会及习得关联在伦理理论中的核心地位。文章讨论了对T2I模型进行批判性审视的意义，并提出相关警示与考量。本研究贡献在于将伦理理论视为基础性知识，用以反思生成式AI作为社会技术系统。
原文摘要 · Abstract (English)
Ethical theories and Generative AI (GenAI) models are dynamic concepts subject to continuous evolution. This paper investigates the visualization of ethics through a subset of GenAI models. We expand on the emerging field of Visual Ethics, using art as a form of critical inquiry and the metaphor of a kaleidoscope to invoke moral imagination. Through formative interviews with 10 ethics experts, we first establish a foundation of ethical theories. Our analysis reveals five families of ethical theories, which we then transform into images using the text-to-image (T2I) GenAI model. The resulting imagery, curated as Kaleidoscope Gallery and evaluated by the same experts, revealed eight themes that highlight how morality, society, and learned associations are central to ethical theories. We discuss implications for critically examining T2I models and present cautions and considerations. This work contributes to examining ethical theories as foundational knowledge that interrogates GenAI models as socio-technical systems.
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