Page 40 - AI for Good Innovate for Impact
P. 40
AI for Good Innovate for Impact
Finally, although smart agriculture appears less frequently, its impact is significant—particularly
in developing regions where AI supports food security and sustainable farming.
This distribution suggests a thoughtful and strategic approach to AI deployment, prioritizing
immediate human needs like healthcare and climate resilience while laying the groundwork
for long-term innovation, infrastructure development, and inclusive growth across all sectors.
Figure 2: Distribution of use cases by domains
2�1�4 Entities who submitted AI use cases
From both the perspective of entities engagement and Distribution of use cases by entity
categories, a diverse and synergistic AI ecosystem has taken shape. Industry leads in driving
implementation, showcasing strong engagement and a high output of practical applications.
Academia remains a cornerstone of innovation, contributing significantly through research
and talent development.
Government bodies demonstrate proactive involvement, using AI to advance public services
and policy frameworks. NGOs and UN organizations offer high-impact contributions focused
on ethics, inclusion, and global priorities.
Together, these entities form a complementary structure where each plays a distinct yet
interconnected role, fostering responsible and sustainable AI development through a wide
range of real-world use cases.
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