Page 19 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

demonstrates the global relevance of AI and its potential to drive innovation and development
across borders. Sectors like healthcare, agriculture, and energy stand out for their significant
contributions, highlighting the transformative impact of AI in key areas of societal importance.
Domains such as 6G, fashion, and safety monitoring represent emerging trends in AI application.

Figure 2: Distribution of use cases by domains

2�1�4 Distribution of use cases by SDGs

Across all use cases, there is a trend of aligning initiatives with multiple Sustainable Development
Goals (SDGs), indicating a holistic and multidimensional approach. Among the SDGs
addressed, SDGs 3 (Good Health and Well-being), 9 (Industry, Innovation and Infrastructure),
10 (Reduced Inequalities), SDG 11 (Sustainable cities and communities), and SDG 13 (Climate
Action) emerge as the top five most commonly targeted goals.
The emphasis on addressing multiple SDGs underscores the interconnected nature of global
challenges and the need for comprehensive solutions. Projects are strategically designed to
not only tackle specific issues but also contribute to broader sustainability objectives, fostering
synergies between different development priorities.

By integrating efforts across these key SDGs, initiatives strive to create positive impacts
that extend beyond individual sectors or communities, fostering inclusive and sustainable
development pathways. This integrated approach reflects a commitment to addressing
complex global challenges and advancing progress towards the overarching goals of the
2030 Agenda for Sustainable Development.

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