East African ministers approve regional AI strategy and university AI module

Ministers of the East African Community (EAC) have approved a shared artificial intelligence (AI) strategy and a university AI module. The decision was announced on Saturday, October 31, 2026, at the end of the 21st Sectoral Council Meeting on Education, Science, Technology, Culture and Sports, held in Kampala, Uganda, from October 27 to 31.

Under the announcement, member states were directed to consider introducing the module across degree programmes, while the Inter-University Council for East Africa (IUCEA) was tasked with preparing a regional rollout framework. Ministers also approved a regional university AI network and directed the development of AI certification benchmarks for Kiswahili.

This strategy is not entirely new. It has already gone through national consultations in all partner states and a regional validation process in Kampala earlier this year. According to May 2026 reports, the strategy covers the period 2026 to 2031 and aims at responsible, inclusive and ethical AI development — while tackling risks such as algorithmic bias, privacy, job displacement and digital inequality.

The university module went through a review in Dar es Salaam, Tanzania, in October. It was developed by IUCEA together with Germany's development agency (GIZ), with input from regional experts and the private sector. It is aimed at students in technical and non-technical subjects alike: using AI in practice and learning to assess AI-generated material critically. Before wider rollout, the review considered whether universities with different staffing, infrastructure and digital capabilities could deliver the teaching — and the pilot process is expected to select institutions according to readiness, while examining teaching approaches, lecturer preparation and student participation.

Fortunate Muyambi, deputy executive secretary of the East African Science and Technology Commission, said during the earlier workshop: "East Africa's AI ambition must be matched by our capacity to deliver." He also said that AI efforts in partner states need greater coordination, harmonised policy frameworks, shared infrastructure, investment in research and stronger institutional collaboration.

It is important to understand the limits of this decision. Approving a strategy and a module is not the same as starting classes: the announcement does not establish that lessons or pilots have begun. It also gave no rollout deadline or new funding allocation, and the council acknowledged that financial and resource constraints affect implementation.

The EAC is a community of eight partner states — Burundi, the Democratic Republic of the Congo, Kenya, Rwanda, Somalia, South Sudan, Tanzania and Uganda — headquartered in Arusha, Tanzania, with a combined population of around 322 million.

What does this mean for you?

University students: If you are studying any degree — not just computer science — this module could one day reach you, wherever you study in the region. Its aim is practical: knowing how to use AI and, more importantly, knowing how to question its answers instead of accepting them as given.

Lecturers and universities: Universities will need prepared lecturers and working infrastructure, not just a curriculum. If your institution lacks reliable internet or enough computers, a readiness-based pilot could leave it behind — that is something to ask about now, before implementation begins.

Workers and job seekers: A shared strategy could make AI skills portable across borders: a certificate or module earned in Kenya could be recognised in Uganda or Tanzania. But until the certification benchmarks are actually implemented, do not put off the training you can get now while waiting for this system.

Kiswahili speakers and content creators: The direction to develop AI certification benchmarks for Kiswahili is significant news: it signals that Kiswahili is being treated as a working language of AI, not a side language. If you write, teach or create content in Kiswahili, this direction could increase demand for good Kiswahili work inside AI systems.