Ghana Should Develop AI That Speaks Our Local Languages

Artificial intelligence is becoming part of everyday life. Students use it to explain difficult topics, businesses use it to answer customers, health workers are exploring it for faster information, and governments are considering how it can improve public services.

Yet there is a serious question Ghana must answer as this technology grows. Will the AI systems we use understand the languages Ghanaians actually speak, or will they mainly serve people who are comfortable using English?

Ghana should make the development of AI in local languages a national priority. Twi, Ewe, Ga, Dagbani, Fante and many other Ghanaian languages are not simply tools for casual conversation.

They carry our history, humour, values, knowledge and identity. If new technology cannot understand these languages, then many people will be pushed to the edge of the digital future. That would be a mistake for a country that says technology should improve the lives of everyone.

The issue is not about replacing English. English remains important in education, business and public administration. The point is that access to technology should not depend on how confidently a person can speak or write English. A farmer in a rural community may know exactly what is happening to a crop but struggle to describe the problem in formal English.

A market trader may want information about prices, loans or taxes but feel more comfortable asking questions in Twi or Ewe. An elderly person may understand a health instruction better when it is explained in the language used at home. In all these cases, language can determine whether technology is useful or frustrating.

This is why Ghana's recent direction on artificial intelligence is encouraging. When the National Artificial Intelligence Strategy was launched in April 2026, the government stressed that AI systems should reflect Ghanaian languages and cultural realities. That principle must now move beyond speeches and policy documents. It should lead to serious investment in local language data, research, voice technology, translation systems and practical tools that ordinary people can use.

There is already evidence that Ghana can do this work. Ghana Natural Language Processing, an open research community, has been building datasets, translation tools and speech systems for Ghanaian languages. Its Khaya project has supported translation involving languages such as Twi, Ewe and Ga. In August 2026, the group announced a speech dataset containing more than two thousand hours of recordings across 42 Ghanaian languages. Work like this matters because AI learns from data. Languages with little digital text or recorded speech are harder for modern systems to understand. Building strong local datasets is therefore not a side project. It is part of building national digital infrastructure.

Local language AI could have an immediate effect on education. A pupil who understands a concept poorly in English could ask for a simpler explanation in a familiar Ghanaian language. Teachers could prepare learning materials for communities where children speak different first languages. Adult learners could use voice based tools without needing advanced typing skills. This would not solve every problem in education, but it could remove one important barrier between learners and information.

Agriculture is another area where the benefits could be practical. Imagine a farmer speaking into a phone in Bono, Dagbani or Twi to describe unusual spots on a crop, ask about rainfall, or request information about a market. The system could respond in the same language with clear advice. The Ministry of Communication, Digital Technology and Innovations has already spoken about this kind of possibility. For a country where agriculture supports many households, this is the kind of AI development that deserves attention because it connects advanced technology to an everyday Ghanaian need.

The same argument applies to health care and public services. Important information about disease prevention, pensions, taxes, business registration or social programmes is less useful when citizens cannot easily understand it.

Local language AI could support call centres, voice assistants and translation services that help institutions communicate with more people. It could also help people with limited literacy because a voice system can allow someone to speak and listen instead of reading long instructions on a screen.

There is also a cultural reason to take this seriously. Languages can become weaker when younger generations rarely see them used in modern spaces. If the digital world speaks mainly English, young people may gradually associate their Ghanaian languages only with the home, the market or traditional settings.

But when a language appears in apps, digital assistants, educational software and creative tools, it gains a place in the future. Technology can therefore help preserve language, not only by storing words, but by making those words useful in daily life.

Some people may argue that Ghana has too many languages to support and that developing AI for them will cost too much. That concern is understandable. Resources are limited, and it would be unrealistic to build perfect systems for every language at once. But the answer is not to ignore local languages.

Ghana can begin with widely spoken languages while also creating open datasets and research methods that make it easier to include others over time. Universities, technology companies, government agencies and language communities can work together. Open research can also prevent every institution from starting from zero.

Accuracy must also be taken seriously. A system that speaks Twi badly or mistranslates a medical instruction can cause harm. Local language AI should therefore be developed with teachers, linguists, native speakers, researchers and community groups, not only software engineers.

Ghanaian languages have dialects, expressions and cultural meanings that machines can easily miss. Building trustworthy systems will require careful testing and constant correction by the people who actually use the languages.

Ghana has a choice. We can wait for foreign technology companies to decide which of our languages are worth supporting, or we can treat our languages as part of the country's technological future.

Depending entirely on imported systems may be convenient in the short term, but it gives Ghana little control over what is represented, what is ignored and whose experiences shape the technology.

AI should not make a Ghanaian feel like a stranger in his or her own country. A truly inclusive digital future is one in which a student can learn, a farmer can ask for advice, a trader can seek information and an elderly person can access a service in a language they understand well.

Ghana's ambition should therefore be bigger than simply using the latest AI tools. We should help build tools that understand us. When technology can speak our languages, it becomes more than impressive software. It becomes technology that belongs to the people.

Philipa Serwaa
University of Energy and Natural Resources P.O. Box 214, Sunyani, Bono Region

Email: [email protected]