Generative Artificial Intelligence and Responsible Tourism

Aaron Tham; Noela Michael; Ian Michael

doi:10.47263/JRTM.04-02-06

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Generative Artificial Intelligence and Responsible Tourism

Journal article

Open access

Peer reviewed

Generative Artificial Intelligence and Responsible Tourism

Aaron Tham, Noela Michael and Ian Michael

Journal of Responsible Tourism Management, Vol.4(2), pp.83-89

2024

DOI: https://doi.org/10.47263/JRTM.04-02-06

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Abstract

Tourism

Environmentally sustainable commercial services and tourism

responsible tourism

tourism technology

digital futures

technological disruption

knowledge economy

Generative Artificial Intelligence (AI) tools such as ChatGPT have taken the world by storm with their ease of adoption and perceived usefulness in performing expedited searches and sourcing for required information online. Such tools have also entered the tourism landscape, with consumers, businesses, and destinations seeking to tap into their immense potential and create personalized resources for their intended audiences. However, the rapid evolution of generative AI has almost ignored the ethical, moral, and responsible uses of these technologies. This research note is a timely commentary and introspection of the state of play and calls for greater reflexivity and responsibility to ensure that the tools are not abused to the detriment of tourism stakeholders.

Details

Title: Generative Artificial Intelligence and Responsible Tourism
Authors: Aaron Tham (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Business and Creative Industries
Noela Michael - University of Dubai
Ian Michael - Zayed University
Publication details: Journal of Responsible Tourism Management, Vol.4(2), pp.83-89
Publisher: Sarawak Research Society
Date published: 2024
DOI: 10.47263/JRTM.04-02-06
ISSN: 2773-5796
Copyright note: All papers are published under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
Organisation Unit: School of Business and Creative Industries; Indigenous and Transcultural Research Centre
Language: English
Record Identifier: 991054498902621
Output Type: Journal article

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