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About the course
Artificial Intelligence in hospitality does not only personalise experiences — it reshapes guest privacy, trust, and brand integrity.
This capstone is the culminating stage of the C-Lab Institute AI Responsibility pathway. Participants are placed in a global hotel group that has deployed an AI-powered personalisation engine.
The system tracks guest preferences, spending patterns, sentiment data, and behavioural analytics to optimise pricing, room allocation, and targeted marketing.
Revenue is rising.
Customer engagement appears stronger.
However:
- Guests are unaware of the extent of behavioural profiling
- Regulators are reviewing cross-border data transfers
- A media investigation has raised concerns about “surveillance hospitality”
- A data leak has exposed sensitive guest patterns
The board must determine whether the AI system should continue, be redesigned, scaled globally, or suspended.
This is not a marketing decision.
It is a governance decision involving privacy, compliance, and brand trust.
Course Type
Executive Leadership | AI Governance Capstone Simulation
Institution
C-Lab Institute
Requirements
- Programme Alignment: C-Lab AI Leadership Pathway – Responsibility Stage
- Coin Allocation: Responsibility Coins
- Prerequisite: Completion of AI Readiness for Leaders
Course content
Sections: 4
•Activities: 4
•Resources: 0
Capstone Objective
Participants will act as Chair of the AI & Data Governance Committee and prepare a formal Board Advisory Memorandum recommending a responsible course of action.
The capstone evaluates the leader’s ability to:
- Identify privacy, data, and consumer protection risks
- Assess cross-border data transfer exposure
- Evaluate ethical limits of personalisation
- Design governance and oversight controls
- Propose transparency and consent frameworks
- Make a defensible deployment / restriction recommendation
Award
🏅 300 Responsibility Coins
📜 C-Lab Institute AI Responsibility Capstone Certificate
Enrolment options
AI Responsibility Capstone: Algorithmic Personalisation & Privacy Risk - Hotel Case Study
Course modified date: 22 February 2026
Artificial Intelligence in hospitality does not only personalise experiences — it reshapes guest privacy, trust, and brand integrity.
This capstone is the culminating stage of the C-Lab Institute AI Responsibility pathway. Participants are placed in a global hotel group that has deployed an AI-powered personalisation engine.
The system tracks guest preferences, spending patterns, sentiment data, and behavioural analytics to optimise pricing, room allocation, and targeted marketing.
Revenue is rising.
Customer engagement appears stronger.
However:
- Guests are unaware of the extent of behavioural profiling
- Regulators are reviewing cross-border data transfers
- A media investigation has raised concerns about “surveillance hospitality”
- A data leak has exposed sensitive guest patterns
The board must determine whether the AI system should continue, be redesigned, scaled globally, or suspended.
This is not a marketing decision.
It is a governance decision involving privacy, compliance, and brand trust.
Course Type
Executive Leadership | AI Governance Capstone Simulation
Institution
C-Lab Institute
- Enrolled students: There are no students enrolled in this course.
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