Staying Ahead: A Critical Assessment of the GenAI-Assisted Hiring Process Using the OECD AI Principles

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.

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Publication Details

Journal
Journal of Hospitality & Tourism Research
Published
2025-10-18
DOI
https://doi.org/10.1177/10963480251391278
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Staying Ahead: A Critical Assessment of the GenAI-Assisted Hiring Process Using the OECD AI Principles

Yung-Kuei Huang, Ning‐Kuang Chuang, Linchi Kwok
Journal of Hospitality & Tourism Research
AI and HR Technologies
article

Staying Ahead: A Critical Assessment of the GenAI-Assisted Hiring Process Using the OECD AI Principles

Yung-Kuei Huang, Ning‐Kuang Chuang, Linchi Kwok
article en

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.

Journal of Hospitality & Tourism Research
Kent State University (US), National Ilan University (TW), California State Polytechnic University (US)
Openalex Percentile: Top 66%
AI and HR Technologies
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