Practical, Ethical AI for Development
As AI adoption accelerates, meaningful impact depends on strong data foundations and institutional readiness. Development Gateway takes a use case-driven approach, drawing on decades of experience helping governments strengthen data systems, test the right tools, and adopt AI sustainably at scale.
Beyond the Algorithm: The Case for Human Judgment in AI
As AI spreads across sectors, this blog explores why human-in-the-loop approaches remain essential, examining how human judgment supports ethical and sustainable AI, the limits of this approach, and what comes next.
Accelerating Institutions: How DG’s 25 Years Create Unique Value for AI
As AI reshapes the digital landscape, we share in this blog DG’s approach to helping institutions adopt it effectively using clear use cases, strong data foundations, and decades of experience to cut through hype and prioritize ethical, sustainable impact.
Preparing Jordan’s Education System for the AI Age
This blog introduces Asas, an early grade education program led by IREX and DG in partnership with Jordan’s Ministry of Education, and explores what AI readiness looks like in early grades and how AI can be integrated safely and sustainably into education systems.
How Useful Is AI for Development? Three Key Lessons
The development world is buzzing with excitement over the idea that new and emerging applications of AI can supercharge economic growth, accelerate climate change mitigation, reduce inequalities, and more. But what does this look like in real life?
Building Useful & Usable AI: A New Tool to Curb Procurement Corruption
DG, together with Accountability Lab, have launched a new AI-powered contract summary and analysis tool through the HackCorruption program, designed to help journalists, civil society, and the private sector detect red flags in procurement processes.
Beyond Kigali: Where Does Africa Go from Here with AI?
As the AI momentum builds, Development Gateway is asking different questions: where the data comes from, how reliable it is, how legacy systems will supply usable data, and whether governments have the capacity to govern and trust the AI tools they’re being urged to adopt.