HEXACO,黑暗三位一体,和聊天GPT:谁愿意犯下学术作弊?谁愿意犯下学术作弊?
Tobias Greitemeyer1, Andreas Kastenmüller2
1University of Innsbruck, Austria.
Heliyon
|October 9, 2023
概括
这项研究发现,像诚实-谦虚这样的个性特征可以通过人工智能工具预测学术作弊意图. 促进公平可以鼓励学生使用人工智能的伦理行为.
科学领域:
- 心理学 心理学 心理学
- 人工智能伦理学 人工智能伦理学
背景情况:
- 越来越多的先进的人工智能语言模型,如Chat GPT,引起了人们对学术完整性的担忧.
- 了解影响AI滥用学术不诚实行为的心理因素至关重要.
研究的目的:
- 调查特定人格特征 (HEXACO和黑暗三位一体) 与使用人工智能生成文本进行学术作弊的意图之间的关系.
- 找出哪些性格方面最能预测这些意图.
主要方法:
- 一项涉及283名参与者的研究使用HEXACO和Dark Triad库存评估了人格特征.
- 采用多重回归分析来确定人格特征对使用人工智能生成文本作弊的意图的预测能力.
主要成果:
- 有意义的预测因素包括诚实-谦卑,良心,对经验的开放 (负面关联),以及马基雅维利主义,自恋和精神病 (积极关联).
- 诚实-谦卑显示出最强烈的关联,意图使用AI生成的文本作弊.
- 诚实-谦卑的"公平"方面是最重要的预测因素,表明优先考虑公平会阻止人工智能辅助的学术不诚实.
结论:
- 人格特质,特别是诚实-谦卑及其公平方面,在使用人工智能进行学术作弊的意图中发挥着重要作用.
- 培养诚实-谦卑及其相关特征可以成为促进人工智能时代学术诚信的有效策略.
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