Page 35 - Crowdsourcing AI and Machine Learning solutions for SDGs - ITU AI/ML Challenges 2024 Report

Crowdsourcing AI and Machine Learning solutions for SDGs

Figure 18: 2024 Challenge announcement in Shanghai during the AI for Good
Innovate for Impact at World AI conference

11�4�2 Ecosystem

In the early years of the challenge, the Challenge Management Board and Judging Committee
played a crucial role in providing the necessary expertise to successfully run the competitions.
These experts have since evolved into a diverse ecosystem that encompasses problem statement
development, sponsorship acquisition, and standard development. Their contributions have
been invaluable not only in the AI/ML Challenge but also in various associated workshops.

This ecosystem has significantly enriched the ITU AI/ML Challenge, with experts actively
participating in AI/ML in communication networks workshops, GeoAI workshops, and tinyML
workshops. Their involvement ensures that the challenge remains at the forefront of innovation
and continues to attract high-quality participants and collaborators. The synergy between
administrative support and expert guidance has been instrumental in the sustained success
and growth of the ITU AI/ML Challenge.

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