用苏格拉底式方法解决生成聊天机器人的自主风险
1School of Humanities, Southeast University, No.2, SEU Road, Nanjing, 211189, China. wench_lu@seu.edu.cn.
Science and engineering ethics
|November 26, 2025
概括
这项研究介绍了SocrAI,一个使用苏格拉底方法的聊天机器人,以解决自主风险,如虚假的心理状态和在生成AI中的认知失训. SocrAI旨在增强人工智能交互中的人类代理和批判性思维.
科学领域:
- 人工智能伦理学 人工智能伦理学
- 人与计算机的交互
- 认知科学 认知科学
背景情况:
- 自主性是人工智能伦理学的核心伦理原则.
- 现有的AI自主风险研究主要涉及推和决策系统.
- 在聊天机器人等生成性AI中,对自主性问题的系统分析是有限的.
研究的目的:
- 分析生成性AI聊天机器人带来的自主性风险.
- 提出基于苏格拉底方法的聊天机器人 (SocrAI) 作为缓解策略.
- 评估使用苏格拉底方法支持用户在人工智能交互中的自主性的可行性.
主要方法:
- 确定两个主要的自主风险:错误的心理状态和认知失训.
- 检查这些风险的根本原因.
- 建议和概念化Socrai,一个采用Socratic方法的聊天机器人.
主要成果:
- 生成式聊天机器人存在独特的自主风险,包括错误的心理状态和认知失训.
- 苏格拉底法被认为是减轻这些风险的合理策略.
- 建议SocrAI作为一个可行的实现,以维护和支持用户自主性.
结论:
- 在AI时代,SocrAI提供了一种新的方法来加强人类代理.
- 聊天机器人鼓励用户积极参与调查,促进自我启动.
- 未来的工作应该集中在SocrAI的未来实施和评估上.
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