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.
Nuclear Power: What Next?
As a growing number of philanthropic foundations increase focus on combating climate change and its impacts, several questions about nuclear power are emerging. How credible are claims about the safety…
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…
