AI for Development
Ensuring AI Delivers Real Impact for the Developing World
Kernel Institute sits at the intersection of AI, policy, and development, ensuring that AI investments in developing countries are not just innovative but also cost-effective, scalable, and impact-maximizing. The question is no longer what AI can do, but what it actually delivers, for whom, and at what cost.
Our Niche
AI Impact Evaluation and Governance for Developing Countries
Most AI governance, safety, and capacity-building work is designed for wealthy-country contexts, frontier AI labs, and European regulatory environments. Kernel fills a critical gap for the developing world.
We build local AI governance capacity, evaluate AI deployments in real-world development contexts, and produce the evidence base that developing-country institutions need to regulate, procure, and deploy AI responsibly.
Our distinctive niche is the intersection of rigorous impact evaluation and AI governance, asking not just “is this AI safe?” but “does this AI actually work for the people it is deployed to serve, and at what cost?”
AI Focus Areas
Four Pillars of Kernel's AI Work
Kernel applies its core model, rigorous evaluation, cost-effectiveness analysis, and decision-focused research across four integrated pillars of AI work.
Pillar 01
AI Impact Evaluation
We apply Kernel’s rigorous evaluation methods to AI deployments in public services, agricultural advisory systems, health diagnostics, social protection targeting, and government service delivery. We ask: does this AI work? For whom? At what cost? And is there a better alternative?
Pillar 02
AI Governance & Policy
We build developing-country institutional capacity for AI governance, designing risk frameworks, regulatory approaches, and AI safety standards adapted to local institutional realities. Our work ensures AI adoption is accountable, equitable, and aligned with national development priorities.
Pillar 03
AI Training & Capacity Building
We equip policymakers, analysts, and institutions with the skills to understand, evaluate, and govern AI effectively. From foundational AI literacy to applied policy and evaluation training, we build the human capital required to make informed, evidence-based decisions about AI adoption and use.
Pillar 04
AI Fellowship
A competitive fellowship producing the next generation of AI policy leaders from the developing world, equipping them with the tools to evaluate AI, shape governance frameworks, and lead evidence-based decision-making in their countries. Each fellow works on real-world AI applications, producing policy-relevant research.
AI is not an exception to Kernel's model, it is where rigorous evidence and cost-effectiveness matter most.
Apply to the AI Fellowship
The Kernel AI Fellowship is a competitive programme for graduates and early-career professionals who want to shape how AI is governed and deployed in the developing world. Fellows conduct original research, develop policy briefs, and gain placements with leading research and policy institutions.