Training

AI4 innovation: Accelerating Public-Private Partnerships for policy impact

In personAI Skills Coalition
Invitation only
  • Date
    7 July 2025
    Timeframe
    13:30 - 15:00
    Duration
    1h 30 minutes
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    This forthcoming training will explore how AI innovation through Public-Private Partnerships (PPPs) is scaling policy solutions across key sectors like healthcare, infrastructure, agriculture, and public services. Participants will learn what makes AI PPPs work, examine real examples of AI collaborations, and discover how PPPs help governments move faster by sharing risk, unlocking funding, and supporting real-world testing of AI solutions.


    Learning Objectives

    By the end of the session, participants will be able to:

    • Discover how AI innovation through Public-Private Partnerships (PPPs) is scaling policy solutions across key sectors like healthcare, infrastructure, agriculture, and public services.
    • Identify what makes AI PPPs work—from funding models to policy enablers.
    • Examine real examples of AI collaborations that moved fast, solved problems, and attracted investment.
    • Design simple and effective AI partnership models that governments and private sector actors can launch quickly.
    • Explain their own role in driving national innovation goals through AI.
    Schedule
    • Welcome remarks by ITU (BDT and AI for Good team)
    • Framing the session: How AI innovation moves faster through PPPs (Facilitator: Dr. Miriam Stankovich)

    o Benefits of PPPs: risk-sharing, funding, pilot testing o Reflection exercise: What public services in your country could benefit? o Real-world case examples of successful AI PPPs enabled by diplomatic engagement

    o Small groups choose a hypothetical challenge (e.g., traffic, disaster response) o Design a quick PPP plan: AI solution, stakeholders, infrastructure, funding o 2-minute group presentations of proposed partnerships

    o Key messages on making PPPs effective o Open Q&A with participants o ITU closing remarks and information on future learning opportunities.