批判数字克隆的伦理盲区，揭示其对人类复杂性的简化与偏见。
Clones in the Machine: A Feminist Critique of Agency in Digital Cloning
- 用女性主义理论审视数字克隆对行为模拟的过度简化
- 指出当前模型忽视知情同意与主体性，加剧系统性偏见
- 提出去中心化数据存储与动态同意机制，推动伦理实践
本文批判学术研究中数字克隆的应用，指出其体现人工智能解决方案主义。数字克隆通过复制用户数据模拟行为，常被视为获取行为洞察的可扩展工具。然而，这种表述掩盖了在同意、自主权和代表性方面的伦理问题。基于女性主义关于自主性的理论，论文认为数字克隆过度简化人类复杂性，可能强化系统性偏见。为应对这些问题，文章提出去中心化数据仓库与动态同意模型，倡导更具伦理意识、情境敏感的AI实践，挑战人工智能解决方案主义的还原论逻辑。
原文摘要 · Abstract (English)
This paper critiques digital cloning in academic research, highlighting how it exemplifies AI solutionism. Digital clones, which replicate user data to simulate behavior, are often seen as scalable tools for behavioral insights. However, this framing obscures ethical concerns around consent, agency, and representation. Drawing on feminist theories of agency, the paper argues that digital cloning oversimplifies human complexity and risks perpetuating systemic biases. To address these issues, it proposes decentralized data repositories and dynamic consent models, promoting ethical, context-aware AI practices that challenge the reductionist logic of AI solutionism
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