將人工智慧（AI）應用於求職面試中，展現出變革性的潛力，有助於解決長期以來影響求職面試及其決策公平性的內在偏見，如外貌歧視和馬基雅維利主義。本研究探討了AI應用在平衡這些偏見中所扮演的角色，以促進公平性並減少求職面試中的去人性化風險。本研究採用兩階段問卷調查法，收集了98位具有求職面試經驗的參與者數據。通過迴歸分析和假設檢驗，探討了AI應用如何影響他們在求職面試中的看法和經驗，特別是那些因外貌歧視而處於劣勢、表現出高度馬基雅維利特質且考慮AI面試的申請者。

研究結果顯示，儘管AI面試被認為是一種減少外貌歧視的客觀評估平台，但其完全消除此類偏見的效果並不明確。此外，具有高馬基雅維利特質的申請者對AI面試表現出明顯的排斥，這表明他們認為這些技術威脅了他們的操縱能力。值得注意的是，AI面試有助於減少申請者的去人性化感受。

本研究強調在人力資源與AI平衡整合的必要性，並關注其潛力和局限性。本研究的意涵主張採取戰略方法，最大限度地提高求職面試中減少外貌歧視和馬基雅維利主義的公平性，同時將去人性化降至最低。

The adoption of Artificial Intelligence (AI) in job interview offers transformative potential to address inherent human biases such as lookism and Machiavellianism, which have long influenced the fairness of job interview and its decisions. This study examines the role of AI adoption in balancing biases which promotes fairness and reducing the risk of dehumanization in job interviews. Employing a two-stage questionnaire survey, this research collected data from 98 participants with job interview experience as the applicants. Through regression analyses and hypothesis testing, the study explored how AI adoption influences their perceptions and experiences in job interview, particularly those disadvantaged by lookism, exhibit high Machiavellian traits, and consider AI interview.

Our findings reveal that while AI interviews are perceived as a method to mitigate lookism by offering a more objective assessment platform, their effectiveness in fully neutralizing such biases is not definitive. Furthermore, applicants with high Machiavellian traits show a distinct aversion to AI interviews, suggesting a perception of these technologies as a threat to their manipulative capabilities. Notably, AI interviews contribute to reducing applicants’ feelings of dehumanization.

This study highlights the need for a balanced integration of human and AI in job interviews, mindful of both potentials and limitations. The implications of this research advocate a strategic approach that maximizes fairness from lookism and Machiavellianism in job interview while minimizing dehumanization.

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