Greitemeyer Tobias, Kastenmüller Andreas
University of Innsbruck, Austria.
University of Siegen, Germany.
Heliyon. 2023 Sep 6;9(9):e19909. doi: 10.1016/j.heliyon.2023.e19909. eCollection 2023 Sep.
The rise in popularity of Chat GPT, an advanced language model that uses deep learning techniques to simulate human-like conversation, has raised concerns about its potential misuse, particularly in academic contexts. The present study ( = 283) explored the relationship between personality traits and the intention to use chatbot-generated texts for academic cheating. Among the HEXACO and Dark Triad traits, Honesty-Humility, Conscientiousness, Openness to Experience (all negative), Machiavellianism, narcissism, and psychopathy (all positive) were significant predictor variables. A multiple regression analysis showed that Honesty-Humility had the most robust association with the intention to use chatbot-generated texts for academic cheating. Further analyses on the facet level revealed that the fairness facet of Honesty-Humility was the most predictive, suggesting that individuals high in Honesty-Humility refrain from using chatbot-generated texts for academic cheating as they prioritize fairness over their own interests. Promoting Honesty-Humility and its fairness facet can be a valuable approach to promoting ethical behavior in academic and other contexts.
Chat GPT是一种先进的语言模型,它使用深度学习技术来模拟类人对话,其受欢迎程度的上升引发了人们对其潜在滥用的担忧,尤其是在学术背景下。本研究(N = 283)探讨了人格特质与使用聊天机器人生成的文本进行学术作弊意图之间的关系。在HEXACO和黑暗三性格特质中,诚实谦逊、尽责性、经验开放性(均为负相关)、马基雅维利主义、自恋和精神病态(均为正相关)是显著的预测变量。多元回归分析表明,诚实谦逊与使用聊天机器人生成的文本进行学术作弊的意图之间的关联最为强烈。在层面水平上的进一步分析表明,诚实谦逊的公平层面最具预测性,这表明诚实谦逊程度高的个体不会使用聊天机器人生成的文本进行学术作弊,因为他们将公平置于自身利益之上。促进诚实谦逊及其公平层面可能是在学术和其他背景下促进道德行为的一种有价值的方法。