Last week, Victoria University Vice Chancellor Dr Lawrence Muganga reminded us on X that it has been exactly one year since Uganda’s ministry of ICT and National Guidance launched the National Taskforce on Artificial Intelligence.
The fanfare was loud. Promises of a national AI strategy, ethical frameworks, and a roadmap to position Uganda in the Fourth Industrial Revolution filled the air. One year later, the silence is deafening. No public updates, no draft policy, no visible milestones.
Meanwhile, the rest of the world is sprinting. I write this from Lagos, Nigeria, where I am attending the 7th Privacy Symposium Africa. The conversations here are sobering. African data – especially biometric and digital identity data – is being harvested at scale by governments, telcos, fintechs, and foreign tech giants.
Much of this data is quietly funneled into training the large language models and computer vision systems that now power global AI. The question echoing in every session is simple: Who controls the data that teaches the machines about us, and what version of Africa are those machines learning?
In Uganda, NIRA has collected fingerprints, facial images, and iris scans from over 30 million citizens. Our mobile money transactions, health records, and land registry details are increasingly digitised.
Yet we have no clear public understanding of where this data resides, who has access, or how it is being used to train AI systems – domestic or foreign. When global models like ChatGPT, Claude, or Gemini speak with confidence about “Uganda”, what are they actually saying, and whose narrative shaped the training data they ingested?
The power dynamics of the AI revolution are brutally clear. The United States, China, and Europe are not just building the most powerful models; they are determining the datasets, the ethical red lines, and the economic value chains.
Africa risks becoming a data colony – extracting raw material (our personal data) to refine elsewhere while importing finished AI products at premium prices. Uganda cannot afford to be a passive passenger. The ministry of ICT, under Dr Aminah Zawedde, has a historic opportunity – and obligation.
The National AI Taskforce must move from closed-door meetings to transparent, aggressive action.
We need, urgently:
1. A published progress report and a firm timeline for the National AI Strategy before March 2026.
2. Clear data sovereignty rules that mandate local storage and processing of sensitive biometric and citizen data used in AI training.
3. A deliberate programme to create Ugandan datasets – in Luganda, Runyankole, Acholi, Lusoga, and our 40+ languages – annotated by Ugandans, for Ugandans. If we do not feed the machines our stories, cultures, and realities, someone else will feed them stereotypes.
4. Partnerships with local universities (Makerere, Victoria, Uganda Christian University, MUBS) to train the next 10,000 Ugandan AI engineers and ethicists. We cannot outsource thinking.
5. Guidance for content creators, journalists, and educators on how to produce high-quality, verifiable Ugandan knowledge that AI systems can trust and cite. National Guidance in the ministry’s name is not just about rallies and patriotic songs.
In the AI age, guidance means shaping the digital narrative of Uganda before foreign models do it for us. The Lagos symposium ends with a stark warning from Nigerian data protection commissioner Dr Vincent Olatunji: “The countries that control the data and the algorithms will control the future.” Uganda is not short of talent, ambition, or strategic location.
What we lack is urgency. Dr Zawedde, the clock is ticking louder than ever. Release the taskforce findings. Open the conversation to the public. Give us a strategy that makes Uganda not just a consumer of AI, but a shaper of it. Let us leapfrog – safely, sovereignly, and proudly – into this new era.
Because if we continue sleeping on the wheel while the world races ahead, we will wake up to find that the AI revolution happened without us – or worse, happened to us. The author is a journalist and communications consultant.
The call for Uganda to actively engage and lead in the AI revolution is not only timely but critical for the nation’s socio-economic future. Beyond avoiding data colonization or passive consumption of AI, Uganda stands to gain transformative benefits by harnessing AI strategically across key sectors.
Why Uganda Must Lead the AI Revolution
1. Eonomic Leapfrogging and Competitiveness
AI offers the chance to accelerate Uganda’s development beyond traditional growth patterns. By integrating AI into critical industries, Uganda can increase productivity, innovate new products and services, and improve competitiveness in the regional and global economy. Countries that integrate AI early gain a massive advantage in wealth creation and influence, shaping global tech standards rather than following them.
2. Harnessing Local Context and Data Sovereignty
AI systems must understand the unique African socio-cultural, economic, and linguistic realities to be effective and ethical. If Uganda does not define its AI narrative, foreign AI models will fill the gap with biased or inaccurate portrayals, undermining national identity, governance, and public trust. Control over data sovereignty ensures sensitive citizen data is protected and that AI applications reflect Uganda’s values.
3. Job Creation and Skills Development
Contrary to fears of job displacement, AI also creates new roles demanding digital literacy, data science, AI ethics, and software engineering. Preparing Ugandans with these skills ensures that the workforce evolves with technology, positioning Uganda as a knowledge economy and reducing brain drain.
4. Improving Public Services and Governance
AI can optimize healthcare, education, agriculture, infrastructure, and governance by enabling smarter resource allocation, predictive analytics, and personalized services. This supports achieving Sustainable Development Goals by enhancing efficiency and reach.
5. Addressing Local Challenges with Contextual Solutions
Generic, imported AI solutions may not solve Ugandan problems effectively. Local AI development encourages innovations specially adapted to Uganda’s agricultural challenges, disease patterns, languages, and social dynamics.
Steps Uganda Should Take to Harness AI Across Sectors
1. Create and Publicize a National AI Strategy
• Set clear, achievable goals with benchmarks and timelines.
• Involve multi-stakeholder input: government, academia, private sector, civil society.
• Ensure transparency and public engagement to build trust and awareness.
2. Build Data Infrastructure and Sovereignty Frameworks
• Develop regulations requiring local storage and secure processing of biometric and personal data.
• Establish government-certified data centers with strong privacy and cybersecurity standards.
• Promote open Ugandan-language data platforms to democratize AI innovation.
3. Invest in AI Education and Training
• Launch AI-focused curricula in universities and technical institutes, with practical labs.
• Provide scholarships and incentives for studies in AI, machine learning, and data ethics.
• Encourage research partnerships with global institutions to exchange knowledge.
4. Foster AI Innovation Ecosystems
• Support tech hubs and startups with funding, mentoring, and incubation facilities.
• Encourage public-private partnerships to pilot AI solutions in real-world contexts.
• Protect IP rights and incentivize development of local AI technologies.
5. Sector-Specific AI Application Examples:
• Agriculture: AI-powered drones and sensors can monitor crop health, soil quality, and weather patterns, helping farmers increase yields and reduce losses. AI chatbots trained in local languages can provide real-time farming advice.
• Healthcare: Diagnostic AI tools can help detect diseases like malaria and tuberculosis early, especially in remote areas. AI can also optimize hospital resource management and track epidemic outbreaks.
• Education: AI can personalize learning by adapting content to students’ learning pace and language preferences, improving literacy rates and inclusivity.
• Financial Services: Local AI models can enhance fraud detection in mobile money services, improving financial security and inclusion. Credit scoring powered by AI can expand access to loans for underserved populations.
• Public Administration: AI-driven data analytics can predict infrastructural needs, optimize utility provision (water, electricity), and improve transparency in governance.
• Language and Culture: Create AI language models for Uganda’s diverse languages to preserve heritage and enable digital inclusion, ensuring AI-driven services are accessible to all citizens.
6. Establish Ethical and Legal Frameworks
• Develop AI ethics guidelines that address bias, privacy, accountability, and transparency.
• Enforce data protection laws that align with international best practices to assure citizens and investors.
• Create mechanisms for AI impact assessment to anticipate and mitigate social risks.
7. Encourage Creation and Curation of Trusted Content
• Support journalists, educators, and content creators to produce reliable, culturally relevant content.
• Build national repositories of verified knowledge that AI systems can depend on to avoid misinformation.
By adopting these comprehensive and sector-tailored approaches, Uganda can transform AI from a foreign-driven technology into an engine of national development. The country’s existing talent pool, youthful population, and growing digital infrastructure provide fertile ground for AI innovation. However, time is crucial. Without decisive, transparent action, Uganda risks missing the opportunity to shape the future—not just digitally, but economically and socially.