ITU AI for Good Sandbox

A distributed, standards-based environment to help researchers, innovators, industry and policymakers develop, validate and share AI solutions aligned with ITU-T standards.

Lowering the barrier to AI research, experimentation and innovation

The ITU AI for Good Sandbox is a shared environment built around open datasets, models, compute, toolsets and trainings. It empowers users to prototype, validate and share AI solutions, learn from best practices, and build work that connects open science, research and standardization.

Why ITU AI for Good Sandbox?
By integrating datasets, models, and simulators into a unified, trusted environment, the Sandbox enables collaboration across countries and domains, bridging the gap between open science, research, and standardization.
  • Open datasets
    Available open-source datasets covering different themes and scenarios.
  • Open models
    Available open-source AI models ready for experimentation and reuse.
  • Toolsets
    Free or licensed toolsets contributed by partners.
  • Compute
    Available compute resources within the environment.
  • Mentoring sessions
    Online mentoring provided by ITU and local experts.
  • Events
    Invitation to the AI for Good Global Summit and regional events to showcase impact.
Beneficiaries of the ITU AI for Good Sandbox
  • Academia and researchers
    Collaborate across sandboxes and create pre-standard research solutions using the latest AI techniques and models.
  • Students and technical practitioners
    Lower the barrier to AI/ML challenges, hackathons and crowdsourced solutions for real-world problems.
  • Industry and innovators
    Build interoperable building blocks using ITU standards and develop regionally relevant pilots with local knowledge.
  • Ministries and regulators
    Answer “what if” questions on AI strategy and assess the impact of policy choices.
  • Government officials and public agencies
    Make locally relevant decisions on AI use cases and deployment options.
Beneficiaries of the ITU AI for Good Sandbox
  • Academia and researchers
    Collaborate across sandboxes and create pre-standard research solutions using the latest AI techniques and models.
  • Students and technical practitioners
    Lower the barrier to AI/ML challenges, hackathons and crowdsourced solutions for real-world problems.
  • Industry and innovators
    Build interoperable building blocks using ITU standards and develop regionally relevant pilots with local knowledge.
  • Ministries and regulators
    Answer “what if” questions on AI strategy and assess the impact of policy choices.
  • Government officials and public agencies
    Make locally relevant decisions on AI use cases and deployment options.
Available sandboxes
The ITU AI for Good Sandbox is currently available in
  • Mozambique
  • Nepal
  • Peru
  • Tanzania
  • United Arab Emirates
  • Uzbekistan
  • Zambia
  • Zimbabwe
How to participate
  • Choose your role
    Host a sandbox, submit a project proposal in your country sandbox, or express interest if your country is not listed yet.
  • Submit your information
    Complete the relevant online form and upload the requested materials.
  • Review and support
    ITU and local partners review submissions and provide technical assistance where relevant.
  • Build and validate
    Use datasets, models, compute, mentoring and toolsets to develop and test AI solutions.
  • Showcase impact
    Present outcomes through AI for Good Global Summit and regional events.
Join the ITU AI for Good Sandbox
Explore available sandboxes, submit your project, or help host the next national sandbox.
  • Become a sandbox host

    For local partner organizations that can provide datasets, models, compute, workshops, hackathons, standards events, or readiness support.

  • Submit a project proposal

    Open to individuals and organizations from ITU member countries to apply within their country sandbox.

  • Use the sandbox from a non-listed country

    For users whose country is not yet listed but who want to access the sandbox ecosystem.

Related events
In person
5 December 2025
11:00 - 13:30
EST - New York
CST - Beijing
PST - Los Angeles
AWST - Perth, Australia
Online
23 April 2026
10:00 - 12:00
EST - New York
CST - Beijing
PST - Los Angeles
AWST - Perth, Australia

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