Abstract

ABSTRACT This study investigates the collaborative supervision strategies of Generative Artificial Intelligence (GAI) in the hospitality and tourism industry, focusing on managing risks in GAI-based travel recommendations. Using evolutionary game theory and system dynamics, a tripartite model is developed, involving the government, GAI companies, and tourists. Five evolutionarily stable strategies (E1, E5, E6, E7, E8) are identified, showing how stakeholder behaviour evolves under different scenarios. The model operates through ‘dual supervision, one implementation’, with government regulation, tourist monitoring, and GAI self-regulation via AI or manual reviews. Simulations indicate that combined government and tourist involvement enhances self-regulation, with subsidies being more effective than penalties. While GAI companies may currently favour manual reviews, the potential for AI-driven reviews remains substantial. This framework provides practical insights for sustainable GAI governance in tourism.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.