The Ethical Implications of AI-Powered Personalization in Hospitality and Tourism

Author:

Mooi Kwong Anthony Tee1ORCID,Omar Shida Irwana2ORCID,Nur Aliah Mansor1ORCID

Affiliation:

1. Universiti Tunku Abdul Rahman, Malaysia

2. Universiti Sains Malaysia, Malaysia

Abstract

The hospitality and tourism industries are revolutionized by AI-powered personalization, enhancing guest experiences and boosting revenue. However, this advancement raises ethical concerns, notably around data privacy, transparency, guest consent, and potential algorithmic discrimination. This chapter discusses these issues, focusing on how algorithmic bias affects inclusivity in travel. It proposes mitigation strategies such as ethical frameworks, robust data security, and user control over personal information. Addressing bias through diverse datasets and human oversight is emphasized. The future of AI in hospitality requires balancing personalization with ethical considerations. Recommendations for stakeholders aim to ensure a responsible, sustainable future for AI-driven travel experiences.

Publisher

IGI Global

Reference70 articles.

1. Addressing Algorithmic Bias in AI-Driven Customer Management

2. Altexsoft. (2024). Personalization in Hospitality: Stages, Key Elements, and Industry Examples. Altexsoft. https://www.altexsoft.com/blog/personalization-hospitality/

3. Berman, D. (2023). Revolutionizing The Hospitality Industry with Artificial Intelligence. Forbes.https://www.forbes.com/sites/forbesbusinesscouncil/2023/09/11/revolutionizing-the-hospitality-industry-with-artificial-intelligence/

4. Borgesius, Z. (2018). Discrimination, artificial intelligence, and algorithmic decision-making.

5. Brown, T. B., Mann, B., & Ryder, N. (2020). Language Models are Few-Shot Learners. arXiv preprint arXiv:2005.14165.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3