Ministers from Togo, Indonesia and Egypt urged that artificial intelligence must prioritise societal outcomes, defining progress through measurable public benefit rather than computing scale.

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• Ministers emphasised that artificial intelligence success should be evaluated by the number of lives improved, not by the scale of infrastructure or model complexity.

• The panel highlighted urgent need to close adoption gaps across the Global South by prioritising public-interest applications in healthcare, education and governance sectors.

• Indonesia detailed expanding internet access to nearly eighty percent population and deploying AI-driven tuberculosis diagnostics in remote and underserved island communities.

• Togo stressed that Africa’s minimal share in global AI talent and infrastructure gaps remain critical barriers to scalable, locally relevant technological solutions.

• During the pandemic, Togo used satellite imagery and telecom metadata with AI systems to efficiently identify and prioritise targeted financial assistance beneficiaries.

• Egypt underscored expanding AI-enabled medical screening and digital learning support to ensure underserved citizens beyond major cities benefit equitably.

• The discussion concluded that inclusive design, trusted systems, institutional capacity building and collaborative regulation are essential for responsible and equitable AI transformation.