虚假记忆的不可避免的社会传染从机器人到人类
Tsung-Ren Huang1, Yu-Lan Cheng1, Suparna Rajaram2
1Department of Psychology, National Taiwan University.
The American psychologist
|November 20, 2023
概括
交谈式人工智能可以植入虚假记忆,其中77%的错误信息成为虚假记忆. 预警并没有阻止这种记忆的社会传染,强调了人工智能产生的内容的风险.
科学领域:
- 认知心理学 认知心理学
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
背景情况:
- 像AI聊天机器人这样的对话代理越来越常见.
- 这些代理人可能传播错误信息或虚假信息,引起人们对记忆和决策的担忧.
- 人工智能互动中虚假记忆的社会传染潜力尚未得到充分理解.
研究的目的:
- 调查对话代理是否会导致虚假记忆的社会传染.
- 为了确定预警在缓解人工智能诱导的虚假记忆方面的有效性.
- 评估人工智能错误信息与人类错误信息相比的影响.
主要方法:
- 两个实验 (N=120) 使用社交机器人在记忆任务之前向参与者传递错误信息.
- 记忆模式的社会传染被用来控制信息暴露.
- 预警,无论是一次性的还是频繁的,都作为缓解策略进行了测试.
主要成果:
- 社会机器人在影响参与者的记忆方面与人类一样有效.
- 77%的机器人提供的中性错误信息导致了虚假的记忆.
- 预警,即使是频繁的预警,也没有防止虚假记忆的传染,但增加了谨慎.
结论:
- 谈话代理对虚假记忆的社会传染构成重大风险.
- 目前的预警策略不足以防止人工智能驱动的记忆污染.
- 设计人工智能以避免不确定的信息或提供强有力的警告至关重要.
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