Responsible and Trustworthy Artificial Intelligence in Tourism and Hospitality

Éditeurs invités

• Brian King, Texas A&M University
• Kyoung Jun Lee, Kyung Hee University
• Danae Manika, Brunel University of London
• Babak Taheri, Texas A&M University

Synthèse

This special issue seeks to advance understanding of how artificial intelligence can be designed and deployed responsibly and trustworthily within tourism and hospitality sectors. As AI becomes increasingly embedded in service delivery, marketing, operations, and guest experiences, the sector faces both opportunities for innovation and significant ethical challenges regarding fairness, accountability, transparency, and consumer trust.

The special issue invites interdisciplinary research examining the technical, managerial, legal, and societal dimensions of responsible AI adoption. Submissions should explore the design, governance, and impacts of AI-enabled platforms and systems, addressing topics such as algorithmic bias, consumer trust, sustainable AI applications, ethical frameworks, digital transformation, and labor implications within tourism and hospitality contexts.

Thèmes proposés

• Ethical AI frameworks in tourism and hospitality: fairness, accountability, transparency, and inclusivity
• AI-driven consumer experiences: balancing personalization, convenience, and privacy
• AI robustness and risk: testing booking, pricing, and chatbot vulnerabilities, modeling threats, and strengthening resilience
• Trust, reliability and safety: building consumer trust, ensuring reliable performance, and managing risks
• Auditing AI systems: ongoing evaluations in pursuit of fairness, accuracy, and compliance
• Generative AI in marketing: pursuing responsibility in branding, engagement, and consumer journeys
• Sociotechnical and cultural dimensions: cross-cultural and historical perspectives on AI adoption
• AI, sustainability, and CSR: supporting or hindering responsible and sustainable practices in tourism and hospitality
• Future directions: conceptual frameworks and policy challenges for responsible and trustworthy AI in service innovation and resilience
• Social and labor impacts: the effects of adopting AI on employment, equity, and workforce well-being
• Frugal AI and digital twins: cost-effective and resource-conscious applications for operations and guest experiences
• Algorithmic transparency and rights: making AI decisions understandable and offering recourse for affected consumers
• Dark side of AI: risks of manipulation, surveillance, over-automation, and addictive design
• Corporate digital responsibility (CDR) in the age of AI within tourism and hospitality
• AI on digital platforms: exploring recommender systems, marketplaces, and platform governance
• Data ecosystems: sharing and leveraging user/usage data across digital travel and hospitality platforms
• Trustworthy AI principles: ensuring AI systems in tourism and hospitality are lawful, ethical, and technically robust
• Verification, validation, and explainability: designing AI that is interpretable and auditable for multiple stakeholders
• Trustworthy AI and consumer journeys: balancing automation with transparency and user empowerment