FROM CONCIERGE TO CODE: ARCHITECTING GUEST TRUST VIA PRIVACY IN AN AI WORLD
This editorial explores a strategic vision for the integration of artificial intelligence (AI), machine learning (ML), and robotics in privacy and cybersecurity practices across the global hospitality industry. Drawing on multidisciplinary sources, cutting-edge academic theory, and applied business strategy, this article argues that these technologies represent a paradigm shift in data protection. The essay contextualizes the risks and rewards of advanced technologies and calls for the design of trustworthy digital infrastructures embedded with ethics, human oversight, and regulatory intelligence. This piece outlines a roadmap for industry transformation that respects hospitality’s humanistic core while embracing algorithmic innovation.
Authors
- Drew Bjerken
Institutions
- Electronic Privacy Information Center (US)
- Privacy Analytics (Canada) (CA)
Publication Details
- Journal
- Artificial Intelligence Machine Learning & Robotics in Business
- Published
- 2025-05-04
- DOI
- https://doi.org/10.32473/aimlrb.1.2.139238
- Primary Topic
- Privacy, Security, and Data Protection
- Type
- article
- Field-Weighted Citation Impact
- 0.00