Page 22 - Crowdsourcing AI and Machine Learning solutions for SDGs - ITU AI/ML Challenges 2024 Report

Crowdsourcing AI and Machine Learning solutions for SDGs

Moreover, the challenge encourages the application of ITU’s pre-standard and standard
concepts in areas such as network management, security, and optimization. Participants map
their solutions to ITU specifications, which not only validates the practicality of these standards
but also provides valuable feedback for their evolution. This iterative process helps to refine
and enhance existing standards, ensuring they remain relevant and effective as technologies
advance.

Additionally, the collaborative environment of the challenge brings together a diverse group of
stakeholders, including researchers, industry professionals, and policymakers. This convergence
facilitates the exchange of ideas and best practices, promoting a unified approach to addressing
emerging technological challenges. As a result, the ITU AI/ML Challenge not only contributes
to the current body of knowledge but also lays the groundwork for the development of future
research and the establishment of robust, globally recognized standards.

The problem statements hosted by the ITU AI/ML Challenge since 2020 can be found on the
link here: https:// github .com/ ITU -AI -ML -in -5G -Challenge/ AI -ML -in -5G -Challenge .github .io

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