Page 19 - AI for Good-Innovate for Impact - An Interim Report 2024

AI for Good-Innovate for Impact

Table 1: Thirteen AI scholars were selected

Name Country

1 Ms Talia Kusmirek USA
2 Ms Alone Somerai Zimbabwe

3 Ms Florence Upendo Rashidi Tanzania

4 Mr Emmanuel Kifalu Mkina Tanzania
5 Mr Hu Zhengkun China

6 Ms Afrah Hussein Ethiopia

7 Mr Asrat Mulatu Beyene Ethiopia
8 Mr Prudhvi Krishna Pavuluri India

9 Mr Emmanuel Othniel Eggah Nigeria

10 Mr Innocent Nzimenyera Rwanda
11 Ms Xu Shan China

12 Mr He Bo China

13 Ms Shadia Y. M. Baroud Palestine 1

3� Learnings and conclusion

3�1 Generalized / Derived learnings from the use cases

Based on the description provided, here are some generalized or derived learnings from the
use cases:

• Cross-Sector Impact: The use cases showcased the impact of AI applications, highlighting
how AI technologies transcend industry boundaries to address various challenges and
opportunities across healthcare, finance, manufacturing, transportation, environmental
monitoring, and more.
• Acceleration of SDGs: Many of the selected use cases demonstrated how AI can
accelerate the achievement of Sustainable Development Goals (SDGs) by addressing key
societal and environmental issues. This underscores the potential of AI to drive positive
social impact and contribute to global development agendas.
• Diverse Geographic Representation: The use cases exhibited geographic representation,
with submissions from 38 countries spanning both developed and developing countries.
This underscores the global relevance and applicability of AI solutions in addressing local
and global challenges.
• Collaborative Approach: The selection process involved collaboration between project
team members and external stakeholders, such as scholars and authors, demonstrating
the importance of a collaborative approach in curating impactful use cases and fostering
knowledge exchange.

1 RESOLUTION 99 (REV. DUBAI, 2018) Status of Palestine in ITU

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