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From Communiqué to Classroom: AI Governance Needs an Implementation Chain

Regional AI commitments become educational governance only when they acquire responsible owners, resources, curriculum rules, teacher capability, learner protections, measurable evidence, incident routes and public review.

A regional conference adopts an ambitious statement on artificial intelligence, digital learning, teacher development, educational data and equitable access. A ministry circulates it. An institution cites it in a strategic plan. A committee drafts an AI policy. The language travels quickly.

The learner's experience may remain unchanged. A lecturer still receives no practical guidance. A programme still cannot say where AI is permitted. Protected information still enters an unsuitable system. An automated decision still has no appeal. A promising pilot still expands without evidence, while a rural learner still lacks the access required to participate.

The distance between a communiqué and a classroom is the central governance problem of educational transformation. AI governance becomes credible only when every commitment acquires an implementation chain: legitimate authority, responsible ownership, resources, curriculum translation, teacher and learner capability, protected data, assessment evidence, incident response, measurable milestones and public review.

On 28 August, the East African Community published the preliminary communiqué of its second Regional Education Conference, held in Nairobi from 25 to 28 August. Ministers, senior officials, development partners, civil society, academics and other education stakeholders considered almost 200 presentations across nine sub-themes and agreed a collective direction towards 2028.

The communiqué recognises progress in education financing, infrastructure, foundational learning, teacher recruitment and professional development, inclusion, digitalisation, data use, TVET, higher education and regional cooperation. It also records persistent…

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