Experts ​‌‌‌​⁠‌‍⁠⁠‍‌⁠​⁠‍‌​‍‌​urge Africa To Develop Home-grown AI Solutions

By Henry Oladele/Linda Ogbonna

Artificial Intelligence and robotics specialists have urged African nations to develop indigenous AI options to speed up financial development and sort out native challenges.

They made the decision on the sixth International Conference on Artificial Intelligence and Robotics (ICAIR 2026) on Tuesday in Lagos.

The convention has the theme, “Artificial Intelligence for Africa’s Sustainable Economic Growth”.

Prof. Kanshukan Rajaratnam of Stellenbosch University, South Africa, stated Africa should transfer past AI analysis to sensible options that enhance folks’s lives.

Rajaratnam, delivering a keynote deal with titled
“From Research to Results: Africa’s AI Translation Challenge”, recognized insufficient infrastructure, restricted analysis funding and expertise migration as main limitations to AI deployment.

He stated African universities, industries and governments should collaborate to translate analysis findings into sensible options for agriculture, healthcare, training, finance and public providers.

According to him, AI adoption in Africa stays constrained by insufficient computing infrastructure, unreliable electrical energy and low funding in analysis and improvement.

He famous that Nigeria spends about 0.2 per cent of its Gross Domestic Product on analysis and improvement, in contrast with the worldwide common of two.2 per cent.

Rajaratnam stated Africa accounted for under 0.6 per cent of world knowledge centre capability, despite having about 18 per cent of the world’s inhabitants.

He recognized the continent’s youthful inhabitants, rising expertise ecosystem and rising demand for digital expertise as alternatives for accelerating AI-driven financial improvement.

He stated Nigeria alone was anticipated to have demand for digital expertise overlaying 28 million jobs by 2030, highlighting the necessity for expanded coaching and capability improvement.

The professor careworn that AI options should replicate Africa’s languages, cultures, demographic traits and socioeconomic realities to make sure their effectiveness.

He warned in opposition to relying solely on AI fashions developed with international datasets, noting that options should be examined and validated utilizing regionally related knowledge.

Rajaratnam additionally urged African governments to put money into shared computing infrastructure, enhance electrical energy provide, strengthen analysis funding and prioritise regionally developed applied sciences.

He known as for stronger partnerships amongst universities, expertise startups, industries and governments to make sure that profitable AI analysis receives the funding and assist required for large-scale deployment.

According to him, governments and industries ought to present real-world issues and knowledge, whereas universities ought to assist analysis, validation and expertise improvement.

He additionally advocated a shared African register of developmental challenges, regionally related AI analysis datasets and stronger collaboration amongst nations to develop options to widespread issues.

Rajaratnam stated African nations should retain extra of the financial worth generated by AI improvements by means of native funding, mental property possession and reinvestment in expertise improvement.

He additional emphasised the necessity to protect human vital pondering, strengthen mentorship and guarantee accountability in AI-assisted decision-making.

Earlier, Dr Shonaike Oladipupo, Chairman of the Conference Planning Committee, stated AI was reworking industries, skilled competencies, analysis and public service supply globally.

Shonaike stated Africa should change into an lively contributor to the worldwide AI ecosystem slightly than stay a client of applied sciences developed elsewhere.

He recognized agriculture, healthcare, training, manufacturing, monetary providers and public administration as sectors the place AI may assist financial and social transformation.

He, nevertheless, stated the advantages would depend upon ample infrastructure, expert manpower, related knowledge, robust analysis establishments and supportive authorities insurance policies.

The chairman known as for stronger collaboration amongst universities, analysis establishments, governments and the personal sector to develop accountable and inclusive AI options.

He urged contributors to make use of the convention to determine partnerships, trade concepts and establish sensible purposes able to delivering measurable financial and social advantages. (NAN)

Edited by Precious Akutamadu/Oluwafunke Ishola