In recent years, the rapidly growing presence of Artificial Intelligence (AI) in virtually every aspect of life in the industrialized world has led to important questions on how AI can help achieve the 2030 Sustainable Development Goals (SDGs). The conversations on AI in the context of human development are nascent, with many interesting ideas being proposed. However, the discussions to date have largely been abstract, with little specificity about where big data and AI can help. Indeed, we believe there is a significant knowledge gap between the AI community and the development community, which needs to be closed in order to separate fact from hype, and to ensure resources are dedicated to initiatives with a meaningful likelihood of impact.
Closing the Medical Oxygen Gap in Sub-Saharan Africa
Insights | Research and Analysis – Sub-Saharan Africa (SSA) has historically suffered from an acute shortage of medical oxygen. Most countries in SSA have less than 10% of the volume…
Technology for Social Impact: Taking Stock of the Field, What is Working, and What is Not
Insights | While the social technology ecosystem is highly innovative, many efforts fail to achieve scale or impact. This research note examines the experience of fifteen technologies across the health,…
