On April 16, the event Data For Humanity: How AI is Transforming Development & Business in Latin America took place at Georgetown University (Washington, DC). It was organized by the Latin American and the Caribbean Policy Association (LAPA), AI Specialist Juan Segundo Hevia, and Mottum Analytica, with sponsorship from the Georgetown Americas Institute.
Through presentations, live demonstrations, and discussions, the event explored the real and potential impact of artificial intelligence (AI) on economic development and public sector management across Latin America.
Key Moments
The day began with opening remarks that set the tone for the event: understanding AI not as a distant promise, but as a concrete tool with visible applications already taking root in the region.
A central focus was the discussion on how AI can drive development, both by building local capacities and improving institutional efficiency. Notable highlights included a case study by Jordan Jasuta Fischer, Lead AI Developer and Solutions Architect at IBM, who showcased the potential of Retrieval Augmented Generation (RAG) systems to enhance public sector decision-making processes. Additionally, Martin de Simone, Education Specialist at the World Bank, presented on the use of Copilot in educational settings.
Key Takeaways
One core insight emerged throughout the event: AI can lead to substantial improvements in various areas of government, but its adoption must be guided by responsibility and an awareness of associated risks. Digital literacy and a deep understanding of the technology by decision-makers are essential conditions for effective integration.
During the closing panel discussion, featuring Hilary Foster, Business Development Manager for Public Sector Customers at AWS, and José Luis Delgado Davara, CEO and Founder of Mottum Analytica, several points of consensus were reached. AI training was identified as a key requirement for governments to move beyond superficial use of these tools. The panel also emphasized the need to integrate AI into institutional processes—not merely as a support tool, but as part of a structural redesign aimed at achieving true efficiencies.
Toward Purpose-Driven AI
Data For Humanity left a clear message: we must continue learning, sharing, and showcasing practical applications of AI in the development sector. Moving away from the hype and focusing on what truly adds value for people and institutions is both an urgent and achievable step to overcoming the challenges currently facing Latin America’s development landscape.
If you couldn’t join us live, you can watch the full event here: