数字双胞胎,人际关系和实际身份认同
Cristina Voinea1, Sebastian Porsdam Mann2,3, Julian Savulescu4
1Uehiro Oxford Institute, University of Oxford.
Bioethics
|August 13, 2025
概括
探索与基于大型语言模型 (LLM) 的数字双胞胎 (DD) 的关系,揭示了它们对用户实际身份的潜在影响. 了解这些人工智能相互作用对于未来的开发和部署至关重要.
科学领域:
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
- 技术心理学技术的心理学.
背景情况:
- 数字双胞胎 (DDs) 是人工智能交谈代理人,在用户数据上接受训练,以模仿个性.
- 关系在很大程度上塑造了一个人的实际身份.
- 关系DD的设计是为了模仿已知的个体,作为人工伴侣.
研究的目的:
- 检查与基于LLM的DD关系对用户的价值观,关注和兴趣的影响.
- 了解DD如何影响实际的身份形成.
- 为DDS的开发和部署提供考虑.
主要方法:
- 基于LLM的数字双胞胎的概念分析.
- 探索关系在定义实际身份中的作用.
- 区分任务特定的和关系式的DD.
主要成果:
- 关系是塑造实际身份的核心.
- 关系型DD是专门设计成作为人为关系型合作伙伴的.
- 与DD的互动有可能改变用户的实际身份.
结论:
- 开发和部署DDs需要仔细考虑它们对用户身份的影响.
- 需要进一步的研究来了解人类与DD关系的长期心理影响.
- 伦理准则对于负责任的AI伴侣开发至关重要.
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