人类智能可以防止人工智能:人类与人工智能文本的辨别能力的个体差异
J M Chein1, S A Martinez2, A R Barone2
1Department of Psychology and Neuroscience, Temple University, Weiss Hall, 1701 N. 13th St, Philadelphia, PA, 19122, USA. jchein@temple.edu.
Scientific reports
|October 30, 2024
概括
人们可以区分人类和人工智能写作,但智能最重要. 沉重的社交媒体使用导致误认为人工智能文本是人类内容.
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:
- 人工智能 (AI) 模型生成文本,无法与人类写作区分.
- 了解人类识别人工智能产生的内容的能力对于导航数字信息至关重要.
- 个人差异可能会影响AI文本检测的准确性.
研究的目的:
- 研究区分人类与人工智能生成文本的个体差异.
- 探索文本辨别能力和认知因素 (流动性智能,执行功能,同理心) 之间的关系.
- 检查数字习惯对AI文本错误归因和共享偏好的影响.
主要方法:
- 参与者评估了文本是否来自人类或人工智能.
- 认知能力 (流动智能,执行功能,同理心) 被评估.
- 记录了数字习惯,包括使用智能手机和社交媒体.
- 测量了人工智能生成内容的共享意向.
主要成果:
- 参与者在区分人工智能和人类文本方面通常表现得比机会更好.
- 流体智能是准确文本歧视的重要预测因素.
- 执行职能和同理心并没有显著预测歧视能力.
- 智能手机和社交媒体的使用增加与误认为人工智能内容是人类相关.
- 精确的AI检测与分享AI内容的可能性较低有关.
结论:
- 流动智能是识别人工智能生成文本的关键因素.
- 大量的数字媒体消费可能会损害识别人工智能产生的内容的能力.
- 个人差异显著影响人类与人工智能生成的信息的互动.
- 这些发现对人工智能素养和在线信息传播有影响.
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