This study examined how moral disengagement influences Filipino college students' intention to use ChatGPT in academic writing. The model tested five mechanisms: moral justification, euphemistic labeling, displacement of responsibility, minimizing consequences, and attribution of blame. These mechanisms were analyzed as predictors of attitudes, subjective norms, and perceived behavioral control, which then predicted behavioral intention. A total of 418 students with ChatGPT experience participated. The results showed that several moral disengagement mechanisms influenced students' attitudes and sense of control. Among the predictors, attribution of blame had the strongest influence, while attitudes had the highest impact on behavioral intention. The model explained more than half of the variation in intention. These results suggest that students often rely on institutional gaps and peer behavior to justify AI use. Many believe it is acceptable to use ChatGPT for learning or when rules are unclear. This shows a need for clear academic integrity policies, ethical guidance, and classroom support. The study also recognizes that intention-based models may not fully explain student behavior. Emotional factors, peer influence, and convenience can also affect decisions. The results provide useful insights for schools that aim to support responsible and informed AI use in higher education.

翻译：本研究探讨了道德推脱如何影响菲律宾大学生在学术写作中使用ChatGPT的意图。该模型检验了五种机制：道德合理化、委婉标签化、责任转移、后果最小化和责备归因。这些机制被分析为态度、主观规范和感知行为控制的预测因素，进而预测行为意向。共有418名有ChatGPT使用经验的学生参与了研究。结果表明，若干道德推脱机制影响了学生的态度和控制感。在各预测因素中，责备归因的影响最强，而态度对行为意向的影响最大。该模型解释了意向变异的一半以上。这些结果表明，学生常常依赖制度漏洞和同伴行为来合理化AI使用。许多人认为，在规则不明确时为了学习使用ChatGPT是可以接受的。这表明需要明确的学术诚信政策、道德指导和课堂支持。本研究也认识到，基于意向的模型可能无法完全解释学生行为。情感因素、同伴影响和便利性也会影响决策。研究结果为旨在支持高等教育中负责任且明智的AI使用的高校提供了有益见解。