人工智能和集体记忆
1School of Social and Political Science, University of Edinburgh, 18 Buccleuch Place, 4F1, Edinburgh EH8 9LN, UK.
Current opinion in psychology
|September 26, 2025
概括
生成型人工智能 (GAI) 通过分裂身份和经验来改变集体记忆. 这项技术阻碍了共享过去的形成,导致了共享过去的形成.
科学领域:
- 数字人文学科 数字人文学科
- 人工智能研究 人工智能研究
- 记忆社会学 记忆的社会学
背景情况:
- 集体记忆传统上依赖于一代或一个群体内的共同经验.
- 集体记忆的概念已经演变,经常与技术进步的神话化.
- 之前的技术被认为是统一记忆,但生成AI提出了不同的挑战.
研究的目的:
- 分析生成性AI (GAI) 对集体记忆的概念和形成的影响.
- 调查GAI如何重新配置过去的表示,访问和使用.
- 认为GAI破坏了集体记忆的传统观念.
主要方法:
- 文学评论和概念分析生成AI和集体记忆理论.
- 检查GAI的机制:提取,重新组合和重播交互.
- 对个人身份和社会记忆形成的影响的分析.
主要成果:
- GAI从根本上改变了过去的表现,访问和沟通方式.
- GAI分裂了个人的身份和经验,使得群体凝聚力变得困难.
- 这项技术创造了一个"黑子"的记忆,掩盖了人类在塑造过去的作用.
结论:
- 生成型人工智能与以前的技术不同,不提供统一集体记忆的前景.
- 人工智能的代理性质挑战了共同经验和群体认同的连贯性.
- 社会面临着碎片化记忆的未来,人类对历史叙事的控制力下降.
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