Newsrooms everywhere are learning to work with AI. Africa's media should be building it, not only receiving it.
Africa's journalism schools are still early — and the global rules are being written now, in rooms where Africa is rarely present. Left alone, the continent consumes AI built elsewhere instead of authoring its own.
The capability gap
Journalists, editors and communicators are using AI daily — with no training, no institutional policy and no shared standard for disclosing it.
The tooling gap
Newsrooms adopt tools built for other markets, other languages and other bandwidths, then spend their time working around what does not fit.
The language gap
Speech, translation and verification models perform worst in East African languages, so the audiences with the least support are served last.
The integrity gap
Synthetic media and deepfakes — cheap, local-language capable and election-ready, while detection stays weakest in the languages that need it most.
Whoever builds capacity in this window will define the region's information ecosystem for a decade.
An applied lab, not a think tank: journalists, educators, students, developers and designers in one room — learning AI, building with it for African audiences, and setting the standards, like the Ubuntu AI Ethics Code, that the industry can adopt.
It began with a project on AI and disinformation. It was built to carry far more than one. Fifteen years of MCI stand behind it, and this is where we stop adapting to AI in journalism and start shaping it.
Innovation without safeguarding is recklessness.
Safeguarding without innovation is retreat.The Lab refuses to choose between them.
What the initial investment established
The long-term vision
A regional Centre of Excellence for Artificial Intelligence and Journalism, where journalism, technology and innovation come together to strengthen public interest journalism, improve newsroom performance and build more resilient information ecosystems.
15
years of MCI behind it
22
educators trained across Uganda and Kenya
400
students reached in the classroom pilot
5
flagship initiatives underway
From the classroom to the newsroom to the region's wider AI journalism community.
AI Train
AI fluency, ethics and verification across the whole media ecosystem: journalists, editors, communications and PR practitioners, educators, students, and young people in schools.
AI Build
An innovation studio building African AI tools: newsroom workflow, local-language speech and translation, audience analytics, data journalism, archives and verification — phone-first, low-data, multilingual.
AI Convene
Hackathons, research forums, communities of practice and an annual summit connecting media, academia, technologists and policymakers.
These are the areas the Lab is built to work in. Each is open to partnership, co-development and funding.
01
Research, transcription, summarising, subediting and packaging tools that fit how African newsrooms actually work — and the budgets they actually have.
02
Transcription, subtitling and translation for the languages the major models serve worst, so coverage reaches the audiences it is about.
03
Helping newsrooms understand who they reach and what reaches them, in markets where the analytics were designed for someone else's audience.
04
Assistants for document sets, budgets, registries and archives — putting a data desk within reach of newsrooms that cannot staff one.
05
Detection, provenance and disclosure tooling built for local languages and local election calendars, not retrofitted from elsewhere.
06
AI applied to the business of media: audience revenue, operations and the cost base of a small newsroom trying to survive its own market.
A founding curriculum, a learning platform, and the Lab on the road. The first was funded to answer one question about AI and disinformation. It built the capacity to answer many more.
Two dated occasions rather than standing programmes — one to enter, one to attend.
Student teams go from problem to prototype to pitch on real newsroom challenges. The 2026 edition runs inside the National Newsroom Contest — “Harnessing AI to Reimagine Our Communities Through Responsible Journalism” — with winners announced on 30 October 2026.
Planned — 2026 edition scheduled; format designed to become an annual flagship.
Newsrooms, universities, technologists, civil society and policymakers, annually: take stock, show the work, negotiate shared standards — from disclosure norms to the Ubuntu AI Ethics Code. The region as author of the global conversation, not its subject.
Planned — In concept development; proposed as the Lab's annual anchor event.
Five days, twenty-two educators from Uganda and Kenya — the Training of Trainers behind the Lab's founding curriculum, and the clearest picture of how the Lab teaches.
A regional Centre of Excellence in the making: it trains the trainers, the students and soon the schoolchildren; builds the platforms African newsrooms actually need; and convenes the community an AI-fluent media generation comes from.
For partners, funders and institutions: one address for AI capability, AI product development and information integrity — training, building and convening under one roof.
