Page 21 - AI for Good-Innovate for Impact - An Interim Report 2024

AI for Good-Innovate for Impact

o The impact of the use cases on advancing sustainable development goals will be
assessed through qualitative and quantitative evaluation methods, including case
studies, user surveys, and performance metrics.
o Feedback from end-users and stakeholders will be collected to measure the
effectiveness and scalability of AI solutions in addressing real-world challenges and
driving positive impact.

• Collaborative Research, Innovation and Standards:
o The project team will foster collaboration and knowledge exchange among stakeholders
through collaborative research projects, joint publications, and innovation challenges
focused on AI for sustainable development.
o Partnerships with academic institutions, research organizations, and industry partners
will be strengthened to facilitate interdisciplinary research and innovation in AI
applications for addressing global challenges using standard based solutions.

• Long-Term planning and scaling of efforts:
o The project team will develop a long-term plan to ensure the continued maintenance
and scalability of the use case collection beyond the initial release. This will include
reaching out to more parts of the world, expanding our Scholar network and network
of experts.

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