When the Kwame Nkrumah University of Science and Technology hosted its first Artificial Intelligence for Sustainable Development mini-conference in Kumasi in February 2026, the room held more than just researchers and government officials. It held a thesis one that Kenya, some 5,000 kilometers to the east, was simultaneously attempting to prove through its own national policy architecture.
The convergence is not coincidental. Both Ghana and Kenya are navigating the same fundamental question: can African nations build AI ecosystems that solve African problems on African terms, or will they remain passive consumers of technologies designed elsewhere for problems they do not share?
The Ghana Model: What AI4SD Has Built
The Artificial Intelligence for Sustainable Development project, spearheaded by KNUST and funded by the French Embassy in Ghana, has developed a robust home-grown ecosystem where technology serves the people. As a multi-partner initiative, it is positioning Ghana at the forefront of the technological revolution in West Africa, harnessing the power of AI to tackle the nation’s most pressing challenges in agriculture, health, and education.
The project’s origins lie in a deliberate institutional bet. Funded by the French Embassy in Ghana, AI4SD is designed to bring innovative AI-driven solutions to critical areas such as agriculture, education, energy, health, business, climate action, and poverty reduction with a special focus on achieving some of the 17 Sustainable Development Goals. The project operates under the Responsible Artificial Intelligence Lab (RAIL), which is also supported by IDRC Canada, GIZ of Germany, and FCDO, the UK’s international development wing.
What has emerged, in just over a year, is concrete and specific. In agriculture, RAIL developed a crop disease detection toolbox that analyses the color and damage of a crop leaf to accurately diagnose disease, offering low-cost support to smallholder farmers. A smart, indigenous weather app is in development to provide localized climate data.
In the energy sector, solutions have been co-created with the Ghana Grid Company to predict damage to machines and transformers, allowing for preemptive maintenance. The initiative has also broken ground in healthcare, with projects focused on diagnosing rare diseases in infants and using AI for clean water including methods to remove heavy metals from water bodies polluted by illegal mining activities.
The team is also developing AI-powered sensors to monitor chemical turbidity and remove toxic heavy metals from water bodies polluted by illegal mining, locally known as galamsey.
Perhaps the most striking innovation is the SignTalk project. Through the Sign Talk project, RAIL is bridging communication gaps for the deaf in medical settings a dimension of inclusion that too many AI programmes across the continent have simply ignored.
Other innovations showcased at the first anniversary event included SignTalk, crop disease detection tools, AI solutions for rare diseases, water treatment for galamsey, and applications of AI in education.
The Philosophy Behind It
AI4SD’s significance goes beyond its individual products. Its deeper contribution is a philosophy of development grounded in the conviction that context matters more than code.
Prof. Jerry John Kponyo, Project Lead of AI4SD, has said the conference was more than a discussion platform it was a call to action. “We are here not merely to discuss technology in the abstract, but to examine how artificial intelligence can be designed and deployed to be context-aware, inclusive, and sustainable, directly supporting the development goals that define our collective future,” he stated.
He cautioned that while AI presents enormous opportunities, it must be responsibly developed. “We stand at a pivotal moment where the tools we build can either widen the gap between the privileged and the underserved or bridge it.”
That framing AI as a bridge or a wedge sits at the heart of the model Ghana has built and that Kenya is now attempting to replicate through its own policy architecture.
Kenya’s Parallel Ambition
On March 27, 2025, Kenya’s Artificial Intelligence Strategy for 2025–2030 was launched by the Ministry of Information, Communications and Digital Economy at the Kenyatta International Convention Center positioning Kenya as Africa’s leading AI innovation hub and marking a new milestone in Kenya’s journey toward harnessing AI to drive sustainable development, economic growth, and social inclusion. (Global Partnership for Sustainable Development Data)
Priority sectors for AI adoption explicitly identified in the strategy include agriculture, healthcare, education, public service delivery, security, financial services, micro-, small and medium-sized enterprises, the creative sector, and sustainability. The strategy outlines priority use cases such as multilingual chatbots for public services and healthcare, AI-enabled agricultural advisory systems, intelligent tutoring systems, and tools to improve efficiency in public service delivery.
The overlap with what Ghana’s AI4SD has been doing in practice is striking. Where Ghana built a crop disease detection toolbox, Kenya’s strategy envisions crop disease detection systems adapted to Kenya’s farming practices and staple crops.
Where Ghana developed AI-powered energy fault prediction in collaboration with GRIDCo, Kenya seeks to leverage smart grids to address electricity challenges. The thematic convergence suggests that what West Africa has learned in the laboratory, East Africa is now encoding in national law.
Kenya’s strategy emphasizes that a citizen-centered AI ecosystem must reflect local values, promote inclusivity, and address challenges like bias, job displacement, and data exploitation. It outlines support areas including developing clear and flexible rules guiding AI use, ensuring schools and training programmes include AI skills, and encouraging both government and private investment in AI.
That last point the emphasis on local values and a “local-first” orientation is a direct echo of what the KNUST team has operationalized in Ghana. During development of Ghana’s own national AI strategy, Mr. Elikplim Sabblah of GIZ’s FAIR Forward initiative explicitly shared lessons from Rwanda and Kenya to inform Ghana’s approach, suggesting a circular learning relationship between the two countries that goes beyond simple emulation.
The Infrastructure Gap
Yet enthusiasm for the model must be tempered by an honest reckoning with the structural constraints facing both countries.
Prof. Kponyo has been candid about the challenges: the paradox of becoming a “victim of your own success,” the difficulty of sustaining momentum when initial funding ends, and the challenge of managing diverse expectations and interests across multiple partners. Scaling up successful pilots remains a persistent hurdle.
Kenya faces similar pressures. Kenya’s National AI strategy highlights the urgent need for accessible, modernized infrastructure to support AI development and deployment including expanding the fiber optic network beyond the current 40.8% internet penetration rate, upgrading data centers with AI-specific capabilities, and promoting green energy sources like geothermal power to create sustainable AI infrastructure.
Critics of Kenya’s strategy have pointed out that it does not adequately capture the complexities of new technology and indigenous communities. Local communities are regarded only as data generators, system validators, and passive consumers when in reality indigenous communities are creators, custodians and users of critical societal knowledge. AI healthcare solutions, for example, cannot be operationalized in the absence of local languages.
That critique finds its counterpart in Ghana’s deliberate counter-approach. The AI4SD project has embedded educational outreach as a structural component of its work. Through the RAIL Robotics Challenge, which brought together 14 schools from across Ghana, Prof. Kponyo announced that AI and robotics clubs have been established in 22 schools across Ghana, all of which have received Arduino and LEGO kits to fuel their practical learning.
“We believe that Africa can take its place in emerging technologies by building the right talent from the basic level upwards, and even in the nurseries and kindergartens,” he said.
Kenya’s own strategy gestures towards this with its Digital Platforms Kenya initiative. In late 2024, 15 Digital Innovation Hubs from across the country were selected to serve as community-based centers for training in digital skills, media literacy, and the use of sustainable AI technologies supporting underserved groups, especially women and youth, while also helping local entrepreneurs and small businesses adopt digital tools.
Gender as Architecture, Not Afterthought
Both initiatives have positioned gender inclusion not as a peripheral concern but as a design principle. The French Ambassador to Ghana, Madam Diarra Dimé-Labille, stressed that gender inclusivity remained central to the AI4SD programme to ensure more relevant and impactful innovation.
RAIL has institutionalized this through dedicated leadership. Prof. Eunice Akyereko Adjei serves as Women in Technology Lead for RAIL and AI in Education Lead for AI4SD a structural role that ensures gender is embedded in both research design and educational outreach, not merely invoked in speeches.
Kenya’s strategy similarly prioritizes expanding STEM education to address the AI talent gap, with a specific focus on women and underrepresented groups, while partnering with industry leaders to offer specialized AI training and mentorship programmes.
What Kenya Can Learn
The AI4SD project’s most transferable lesson for Kenya is neither its crop disease algorithm nor its transformer fault predictor. It is its institutional architecture the insistence on embedding AI research in a university with a living mission, partnering with state actors and private firms simultaneously, and making tangible public-good outcomes the benchmark of success rather than publications or patent counts.
Ghana’s AI Strategy received cabinet approval in February 2026 the culmination of years of consultation and institutional leadership, with KNUST’s Responsible AI Lab at the centre of the national effort. From early ethical debates in 2022 to high-level national consultations in 2025, KNUST’s RAIL shaped the ideas, frameworks and stakeholder engagements that ultimately defined Ghana’s AI roadmap.
Kenya has the strategy. What remains is building the equivalent of a RAIL an institution with both the intellectual credibility and the practical disposition to do the unglamorous work of translating policy into deployed systems, and deployed systems into changed lives.
As Prof. Kponyo has put it, the ambition is nothing less than becoming a global centre for responsible AI research. That aspiration, born in Kumasi, now finds its echo on the shores of the Indian Ocean. The question for Nairobi is whether it will watch that flame from a distance, or carry it home.
Mustapha Bature Sallama.
Medical/ Science Communicator,
Private Investigator, Criminal investigation and Intelligence Analysis.
International Conflict Management and Peace Building.USIP
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