AI & Education Policy Dialogue: What Works, What Breaks, and What's Next

Al is moving quickly into education systems, but implementation is uneven —creating avoidable gaps in access, quality, and trust. This dialogue brings cross-context evidence from five hubs to identify what is working, what is breaking, and why—so partners can scale Al in education responsibly and inclusively. Key Questions: • What works: Which interventions measurably improve learning, teacher capacity, or system efficiency? • What breaks: Where do deployments fail (infrastructure, data, teacher readiness, governance)? • What's next: What policy and implementation moves are "no-regret" across contexts?