Articles
Hotel Decision Lab examines the decision-making layer of AI in hotels: what systems know, what managers know, who can recognize a consequential error, and how authority and accountability should be allocated.
Published
September 4, 2026 · Research-informed conceptual essay
When manager-supplied local information deserves decision weight, when intervention adds noise, and how hotel organizations can make those information claims visible and evaluable.
Read the articleAugust 6, 2026 · Research-informed conceptual essay
Human review is not automatically a safety feature. The essay develops three proposed conditions for evaluating whether a manager may add value to an AI-supported hotel labor decision, while making clear that the conditions are not validated rules.
Read the articleResearch program
The publication sequence moves from manager overrides to local knowledge, explanation, appropriate reliance, and decision rights. Future essays are published only when they pass the Hotel Decision Lab evidence and publication gates; the roadmap is not accelerated for search volume.
Review the current research agenda, read the methodology, or use the AI in Hotels gateway for the full topic map.