Innovate for Impact

Submitting use cases to AI for Good can bring several benefits, such as:

• Visibility: Your use case can be featured and highlighted at the AI for Good Global Summit in Geneva. This provides an opportunity to showcase your work to a global audience of experts, policymakers, and stakeholders.
• Collaboration: By submitting your use cases, you can foster collaboration with AI for Good Scholars, ITU, and other organizations that are dedicated to leveraging AI to address global challenges. This collaboration can help further develop and analyze the use cases, leading to valuable insights and real-world impact.
• Contribution to addressing global challenges: AI for Good aims to highlight applications of AI that can address global challenges. By submitting use cases, you can actively contribute to achieving these goals and working towards creating a positive impact on society, the environment, and the economy.
• Prizes: if selected, your use case could win mentoring, prizes and resources. The list of prizes will be announced in May 2026.

Applying for the AI for Good Scholar program can have various benefits, including:

• Recognition: The selected individual will have the opportunity to be recognized as a dedicated and talented scholar in the field of AI and sustainable development. This recognition can help enhance their professional reputation and open doors to further opportunities.
• Networking: AI for Good Scholars get the chance to work closely with ITU and other scholars who share a common interest in leveraging AI to address global challenges. This provides a valuable networking platform for collaboration, knowledge sharing, and future partnerships.
• Access to Resources: Scholars selected for the program may gain access to resources, mentorship, and training opportunities, which can strengthen their research capabilities and potential impact.
• Attendance at AI for Good Summit: AI for Good Scholars from developing countries would receive funding to attend the AI for Good Global Summit in Geneva. This event brings together leading AI experts from around the world and offers valuable learning, networking, and exposure opportunities.

The evaluation process for use cases submitted to AI for Good may vary depending on the specific guidelines provided by the program organizers. However, typically, the evaluation criteria may include:

• Relevance to addressing global challenges: Use cases will be evaluated based on how directly they address or contribute to addressing global challenges.
• Quality and Innovation: The originality, uniqueness, and innovative nature of the use case will be assessed, as well as the overall quality of the research and proposed solutions.
• Potential Impact: The potential impact of the use case on addressing societal, environmental, or economic challenges related to global challenges will be considered.
• Feasibility and Scalability: The feasibility of implementing the use case, its scalability potential, and practicality in real-world settings will also be taken into account.

Ultimately, the evaluation process aims to identify use cases that have a high potential for making a meaningful contribution to addressing the global challenges and can be successfully developed and analyzed within the AI for Good framework.

The evaluation process for applications to the AI for Good Scholar program will typically involve a comprehensive assessment of the applicant’s qualifications, research potential, and dedication to leveraging AI to address global challenges. The criteria for evaluation may include:

• Academic Qualifications: The applicant’s educational background, including their pursuit or possession of a related degree in a field of Engineering or Science.
• Interests: The alignment of the applicant’s interests and relevance in addressing global challenges will be assessed.
• Collaboration Potential: The applicant’s ability to collaborate with various stakeholders, engage in interdisciplinary work, and showcase collaboration will also be evaluated.
• Supporting Documents: The recommendation letter and CV provided will be considered in analyzing the applicant’s suitability for the program.

The evaluation committee aims to select scholars who demonstrate strong potential for making contributions to the field of AI to address global challenges and who are likely to actively contribute to the AI for Good Global community and engage in valuable interdisciplinary collaboration.

Please note that the specific evaluation process may differ based on the AI for Good program and the guidelines provided by the program organizers. It is advisable to refer to the official documentation or contact the relevant authorities for the most accurate and detailed information.

Gender balance and regional balance will be considered in this project.

The evaluation process for applications to the TAC will typically involve a comprehensive assessment of the applicant’s qualifications, research or industry achievements, and dedication to leveraging AI to address global challenges. The criteria for evaluation may include:

• Academic and professional achievements: The applicant’s educational and professional background, including their current position in their field or domain.
• Interests: The alignment of the applicant’s interests and relevance in addressing global challenges will be assessed.
• Collaboration and Leadership Potential: The applicant’s ability to collaborate with various stakeholders, engage in interdisciplinary work, and showcase collaboration will also be evaluated.
• Supporting Documents: The CV provided will be considered in analyzing the applicant’s suitability for the program.