IIAR Journal of Artificial Intelligence and Emerging Technologies (IIAR-JAIET) is an international, peer-reviewed, open-access journal publishing original research on artificial intelligence, machine learning, robotics, data science, cybersecurity, blockchain, and all emerging and disruptive technologies shaping the future of society, industry, and governance.
Emmanuel Usulor Nwogboji, Umar Atolagbe, Ogah Sunday Ogbo
This study examines the effect of artificial intelligence on manufacturing and industrialisation in Africa, focusing on how AI-driven automation is disrupting industrial employment, threatening the labour-intensive manufacturing pathway that historically enabled structural transformation in East Asia, and reshaping the industrial policy choices available to African economies. The study adopts a mixed-methods design combining systematic documentary analysis, comparative policy mapping, and secondary quantitative data from major international and regional institutions. Guided by Structural Transformation Theory and the Technology-Organisation-Environment Framework, the study identifies six major disruption domains: automation of labour-intensive tasks, concentration of productivity gains in foreign-owned firms, displacement of workers witho
This study examines how artificial intelligence is reshaping media and public discourse in Africa, with a focus on the spread of disinformation, the challenges facing local journalism, and the need for stronger governance. It adopts a mixed-methods approach, combining documentary analysis, comparative regulatory review, and data from organisations such as UNESCO, the Reuters Institute, Africa Check, the Mozilla Foundation, and Research ICT Africa, alongside reports from regulators in Nigeria, Kenya, South Africa, Ghana, and Egypt. The study identifies six key areas of disruption. These include the use of AI to spread electoral disinformation, the rise of health misinformation, and the role of algorithms in amplifying ethnic and communal tensions. It also highlights AI-driven financial scams targeting mobile money users, the growing pressu
Emmanuel Usulor Nwogboji, Ogah Sunday Ogbo, Umar Atolagbe
This study examines how artificial intelligence (AI) is reshaping retail and consumer markets in Africa, focusing on rising market concentration, the displacement of informal traders, and the need for stronger regulation. It adopts a mixed-methods approach, combining documentary analysis, comparative regulatory review, and data from organizations such as the International Finance Corporation, the African Development Bank, the African Competition Forum, the ILO, and FinMark Trust, alongside reports from regulators in Nigeria, Kenya, South Africa, Ghana, and Egypt. The study identifies six key areas of disruption: AI-driven pricing allows large digital platforms to undercut informal traders, data control strengthens these platforms’ market dominance, recommendation systems influence consumer behavior, and AI-integrated supply chains often e
Emmanuel Usulor Nwogboji, Emmanuel Simon Audu, Umar Atolagbe, Ogah Sunday Ogbo
This study examines how artificial intelligence is transforming telecommunications and the digital economy in Africa, paying close attention to the risks of platform dominance, the growing concerns around data sovereignty, and the policy choices needed to strengthen Africa’s digital independence. It adopts a mixed-methods approach, drawing on documentary analysis, comparative regulatory review, and secondary data from GSMA, the International Telecommunication Union, the African Development Bank, and national regulators in Nigeria, Kenya, South Africa, Ghana, and Egypt. Guided by Platform Regulatory Theory and Digital Colonialism Theory, the study identifies six key areas of disruption. These include the growing dominance of foreign platforms in AI-driven services such as search, social media, and cloud infrastructure; the widespread extra
Emmanuel Usulor Nwogboji, Umar Atolagbe, Paul Idowu Bamigbola, Emmanuel Simon Audu, Ogah Sunday Ogbo
This study examines the impact of artificial intelligence (AI) on real estate and housing markets in Africa, focusing on the affordability crisis driven by AI algorithmic rent pricing, mortgage exclusion systems, and valuation bias in AI property assessments. These issues perpetuate racial and socioeconomic housing inequality. The study uses a mixed-methods approach, including documentary analysis, comparative housing policy mapping, and secondary data from UN-Habitat, the World Bank, African Development Bank, and national housing authorities in Nigeria, Kenya, South Africa, Ghana, and Egypt. Grounded in Socio-Spatial Stratification Theory and the Right to the City Framework, the study identifies six disruption areas: AI property valuations replicating racial disparities, algorithmic rent-setting enabling above-market increases, predictiv
