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Abstract

This critical reflection examines the growing use of GenAI (Generative AI) in hiring in the hospitality and tourism (H&T) industry. Distinct from systematic reviews, this paper synthesizes academic literature, white papers, and the authors’ field-based research experience to explore four topics. First, it assesses how GenAI transforms the six hiring phases from the perspectives of employers and job seekers. Second, ethical risks related to fairness, transparency, data protection, and accountability are critically evaluated using the Organization for Economic Cooperation and Development’s (OECD) AI Principles for “trustworthy AI,” which informs the development of six propositions. Third, practical recommendations are presented to help H&T organizations and job seekers remain competitive, relevant, and compliant with the OECD AI Principles as they navigate the still-evolving AI landscape. Lastly, research questions and methodologies are proposed for future investigations. This work contributes to the ongoing interdisciplinary dialogue and supports the responsible adoption of AI in hiring.

Keywords

artificial intelligence generative AI selection human resource management information technology critical reflection

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