Selected use cases would have the opportunity to be presented at the AI for Good Global Summit in Geneva in 2026.
Visit our AI for Good Prizes portal to learn more about the prizes.
Deadline 28 February 2026
Submit new AI use cases
Submit innovative use cases that address global challenges and stand a chance to win AI for Good Prizes
Selected use cases would have the opportunity to be presented at the AI for Good Global Summit in Geneva in 2026.
Visit our AI for Good Prizes portal to learn more about the prizes.
Deadline 28 February 2026
Timeline
22 Dec 2025 – 28 Feb 2026Submission period- Mar – Apr 2026Use case review and evaluation process
- Jun 2026Use case report published
- 7–10 Jul 2026Workshop & awards
Who can participate?
The call for use case submission is free and open to individuals and organizations coming from ITU Member States. We encourage submissions from a broad spectrum of participants, which include, but are not limited to:
- Academia and research entities
- Startups
- Industry leaders
- Policymakers and government bodies
- NGOs and civil organizations
- Individual innovators
Submission categories
The submission categories are organized along nine emerging intelligence tracks, each aligned with efforts to address global challenges and connected with open-source ecosystems that help prototype, test, and scale solutions.
Deadline: 28 February 2026
Autonomous and semi-autonomous AI agents that support decision-making, coordination and service delivery in domains such as health, education, policy, public services and crisis management.
Example use cases:
- AI agents assisting citizens to access e-government and social services
- Multi-agent systems for hospital bed allocation, triage and referral
- Classroom tutoring agents to support teachers and students in low-resource environments
AI-supported and AI-enabled quantum communication, post-quantum security, and secure data exchange for critical infrastructure and cross-border collaboration.
Example use cases:
- Simulation and optimization of quantum key distribution (QKD) networks
- AI-based routing and resource management in quantum communication networks
- Secure and privacy-preserving data-sharing frameworks for applications aimed at addressing global challenges
AI-enabled BCI systems that support rehabilitation, accessibility, mental health monitoring, and human–AI interaction, particularly for people with disabilities or mobility challenges.
Example use cases:
- Assistive communication interfaces for people with speech or motor impairments
- Rehabilitation support systems for stroke survivors
- Attention/engagement monitoring in education or training settings (with strong ethical safeguards)
Embodied Artificial Intelligence operating in the physical world to support industry, smart cities, logistics, elderly care, agriculture, environmental monitoring and disaster response.
Example use cases:
- Service robots supporting elderly care and assisted living
- Agricultural robots for precision farming and resource optimization
- Search-and-rescue robots for disaster scenarios, mapping and assessment
Generative models (text, image, audio, video and multimodal) to support education, media, local languages, cultural heritage, transparency in public services and inclusive communication.
Example use cases:
- Generative AI for local-language educational content creation
- Synthetic data to support modelling tasks related to global challenges
- AI-assisted tools to draft public policy summaries, regulatory guidelines or citizen information in plain language
AI models running on or using satellite, UAV and remote sensing data, as well as space-based compute, to support climate action, agriculture, urban planning, disaster risk reduction and connectivity.
Example use cases:
- Crop yield estimation, drought monitoring and food security planning
- Urban heat island analysis and resilient city planning
- Early warning systems for floods, wildfires, storms and other hazards
Open-source AI refers to AI models, code, datasets, or tools with open-source licenses. This allows transparency, lowering barriers for developing countries, promoting interoperability, and community-driven innovations.
Example use cases:
- Open-source geospatial pipelines for disaster monitoring
- Local deployment of open LLMs for government digital services
- Open-source robotics for agriculture or emergency response
- Reproducible AI education platforms for low-resource environments
The AI + Finance theme focuses on practical and scalable applications of artificial intelligence that enhance efficiency, inclusion, and resilience across financial systems. It highlights AI solutions that expand access to financial services for underserved populations, such as AI-driven credit assessment, digital payments, and intelligent microfinance. The theme also includes applications in fraud detection, risk management, cybersecurity, and sustainable finance, including AI-enabled ESG analytics and climate-related financial risk modeling. Submissions should demonstrate real-world impact, responsible AI use, and the potential for replication across diverse economic contexts.
The Others category captures impactful AI applications that do not fall within the predefined focus areas—including quantum technologies, embodied intelligence, brain–computer interfaces, intelligent agents, AIGC, open-source AI, and space-based computing. It provides a flexible space for cross-domain and emerging AI innovations applied in areas such as public services, disaster response, education and skills, accessibility, culture, and creative industries. Priority is given to solutions with demonstrated impact, scalability, and clear contribution to sustainable development.
FAQsFrequently Asked Questions
Use the form given here Submit new AI use cases to submit. Only online submissions are accepted.
Future Steps:
Once the submission period comes to a close, our panel of experts will rigorously evaluate the use case submissions. Participants whose use cases closely align with the objectives of the AI for Good project and score well on the evaluation criteria below, will be notified, and their use cases would be potentially featured at the AI for Good Global Summit.
Moreover, selected use cases may benefit from further support in the form of seed resources, mentorship programs, and networking opportunities. Final prize winners will be announced and honoured at an award ceremony in July 2026.
Evaluation criteria:
- 10% – Clarity and completeness
- 10% – Is the link to addressing global challenges clearly justified?
- 30% – Are the technical approaches clearly studied and explained in the use case?
- 20% – Innovation and use of advanced AI techniques
- 15% – Quality of design diagrams; alignment with ITU standards and standardization potential
- 15% – Are the lessons learnt from the use case clearly stated?
To become a part of this transformative project, follow these steps:
- Visit the AI for Good submission portal to share your use case.
- Engage with our community through webinars, discussions, workshops, and collaborative platforms.
- Follow us on social media and subscribe to our newsletter for updates and opportunities.
By participating, you agree to grant ITU/MIIT non-exclusive, royalty-free rights to use your submission for any purpose related to the AI for Good project. Submissions should not infringe upon third-party rights and must comply with applicable laws and regulations.
Please refer to the 2025 Report from Innovate for Impact initiative.
Ready to feature your innovation in Geneva?
Don’t miss your chance to showcase your solution to a global audience of policymakers and industry leaders. Submit your use case by February 28, 2026, for the opportunity to win prizes, receive mentorship, and be honored at the AI for Good Global Summit.
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