•   Artificial Intelligence and Service Robotics in Hospitality Business HOS017AS2AE-3002 24.03.2025-16.05.2025  5   (RE4HA4, ...) +-
    Learning objectives
    *Is able to identify realistic opportunities for applying AI and service robotics in hospitality business
    *Is able to critically assess the operational, managerial and ethical implications of automating specific hospitality tasks
    *Is able to build a realistic business case and strategic roadmap for leveraging AI and service robots in hospitality in the short- and long-term
    Contents
    *Introduction to artificial intelligence (AI) and service robotics in hospitality business
    *From Human-Computer Interaction to Human-AI Interaction: theories underpinning the field
    *Building a business case for applying AI and service robotics in hospitality business
    *Strategic and operational implications of using AI and service robotics in hospitality
    *AI ethics
    Assessment criteria
    Assessment criteria - grade 1
    When the implementation type of the course is CONTACT, ONLINE or BLENDED it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25 %, your grade will be lowered by one. If you are absent more than 50 %, the course is failed.

    The student is able to recognise and understand the major turning points in AI and service robotics theory and practice and how they relate to hospitality business. The student is able to describe the key elements needed for building a successful AI and service robotics business case.
    Assessment criteria - grade 3
    The student is able to analyse the different turning points in AI and service robotics theory and practice, including how they relate to hospitality business. The student is able to develop a compelling AI and service robotics business case, with some consideration for AI ethics.
    Assessment criteria - grade 5
    The student is able to critique the overall development of AI and robotics in general and in relation to hospitality business. The student is able to build a strong business case for using AI and service robotics in different hospitality business contexts, also critically considering the broader implications of technology use (e.g. AI ethics).
    Campus

    Haaga Campus

    Teaching language

    English

    Timing

    24.03.2025 - 16.05.2025

    Enrollment

    02.01.2025 - 21.03.2025

    Groups
    • RE4HA4
    • MALTA2025K
    • CONTACT
    • EXCH
    Teachers

    Pasi Tuominen, Joel Pakalén

    Seats

    15 - 40

    Degree Programme

    EXPER Hospitality and Tourism Experience Management

    R&D proportion

    0.00 cr

    Virtual proportion

    0.00 cr

    Evaluation scale

    H-5