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Using AI to diagnose patients with a smartphone but no healthcare access
Artificial intelligence is often seen as a futuristic tool—but for some global health challenges, it’s already the only solution. Dr. Juan Lavista Ferres, Microsoft's Chief Data Scientist, Corporate Vice President, and Lab Director for the AI for Good Lab, points to a powerful example: diagnosing a leading cause of childhood blindness in newborns.
In this Global Stage conversation from the 2025 STI Forum at the United Nations, Ferres explains how AI is being used to detect retinopathy of prematurity, a condition affecting premature babies that now ranks as the world’s top cause of childhood blindness. The problem? There aren’t nearly enough pediatric ophthalmologists to meet global demand—and without early diagnosis, the condition often leads to permanent vision loss.
“We have AI models today that can diagnose this from your smartphone,” says Ferres. “This is just one example where AI is not just the solution—it’s the only solution we have.”
He argues that technology like this can empower doctors, not replace them, and help close critical gaps in healthcare access. With billions of people still lacking adequate care, Ferres believes AI can be a transformative force for scaling health services—if deployed thoughtfully and equitably.
This conversation is presented by GZERO in partnership with Microsoft, from the 2025 STI Forum at the United Nations in New York. The Global Stage series convenes global leaders for critical conversations on the geopolitical and technological trends shaping our world.
AI adoption starts in the C-suite
As artificial intelligence becomes a foundational force in global business, many companies are rushing to adopt it—but not all are ready. According to Caitlin Dean, Director and Deputy Head of Corporates at Eurasia Group, success with AI isn’t just about access to the latest tools. It depends on leadership that actually understands what those tools can do.
In this Global Stage conversation from the 2025 STI Forum at the United Nations, Dean explains that while some large tech firms are integrating AI at the core of their business models, most companies are still in the early stages—using turnkey solutions to boost productivity without a clear long-term strategy. That gap, she warns, is a leadership problem.
Dean argues that organizations need more than just engineers. They need business leaders who are AI-literate—strategists who understand the technology deeply enough to apply it in meaningful, forward-looking ways. Without that, companies risk falling behind, not just in innovation, but in relevance.
This conversation is presented by GZERO in partnership with Microsoft, from the 2025 STI Forum at the United Nations in New York. The Global Stage series convenes global leaders for critical conversations on the geopolitical and technological trends shaping our world.
Winning the AI race isn't about who invented it first
As artificial intelligence continues to reshape the global economy, the spotlight often lands on breakthrough inventions from labs like OpenAI, Anthropic, or DeepSeek. But according to Jeffrey Ding, assistant professor at George Washington University and author of "Technology and the Rise of Great Powers," that focus misses the bigger picture.
In this Global Stage conversation from the 2025 STI Forum at the United Nations, Ding argues that the true driver of national power isn’t who invents the next great AI tool—it’s who can scale it. He calls this process “diffusion”: the broad, effective spread of general-purpose technologies like AI across entire economies, industries, and institutions.
History backs him up. From electricity to the steam engine, Ding notes that the countries that ultimately benefitted most from past industrial revolutions were those that could integrate new technologies widely — not just invent them first. “That’s where diffusion meets inclusion,” he says.
This conversation is presented by GZERO in partnership with Microsoft, from the 2025 STI Forum at the United Nations in New York. The Global Stage series convenes global leaders for critical conversations on the geopolitical and technological trends shaping our world.
Customizing AI strategies for every region, culture, and language is critical
As artificial intelligence races ahead, there’s growing concern that it could deepen the digital divide—unless global inclusion becomes a priority. Lucia Velasco, AI Policy Lead at the United Nations Office for Digital and Emerging Technologies, warns that without infrastructure, local context, and inclusive design, AI risks benefiting only the most connected parts of the world.
In this Global Stage conversation from the 2025 STI Forum at the United Nations, Velasco argues that to be truly transformative, AI must be developed with the realities of underserved regions in mind. “It’s not the same solution thought of in the US as one in any country in Africa,” she explains. Effective governance, she says, must bring together governments, companies, academia, and civil society—not just a handful of powerful tech players.
Velasco emphasizes that AI adoption isn’t just about deploying tools—it’s about building the foundations that allow every country to create its own solutions. That includes access to electricity, connectivity, and training, but also ensuring AI models speak a diversity of languages and reflect a diversity of needs.
This conversation is presented by GZERO in partnership with Microsoft, from the 2025 STI Forum at the United Nations in New York. The Global Stage series convenes global leaders for critical conversations on the geopolitical and technological trends shaping our world.