Cyber Inequity, Inherent Biases, and the Paradox of the AI Services Market

Gbadebo Odularu ()
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Gbadebo Odularu: Howard University, Department of Economics

A chapter in Behavioral Cybersecurity and Ethical AI in Relational Economics Context, 2026, pp 555-577 from Springer

Abstract: Abstract In Africa’s evolving digital landscape, biases in AI systems deepen systemic inequities in African media, health, labor, trade and socioeconomic contexts. Thus, the interconnection of people, places, platforms, processes, and policies—the 5Ps framework—creates a unique paradox of cybersecurity and inherent biases in AI services, driving an unprecedented demand for robust security measures and data privacy laws. As African households, businesses, governments, and communities increasingly rely on AI technologies, the continent must confront the challenges posed by these biases. This raises questions about how new developments in behavioral cybersecurity and AI model development are ‘unshaping’ and reshaping development trajectories in African countries. The systems designed to protect our 5Ps framework can inadvertently perpetuate hidden vulnerabilities that expose our sensitive information to intrinsic cyber risks. It is essential to recognize that addressing these biases extends beyond a technical necessity; it embraces the fundamental imperative of prioritizing ethical AI-driven behavioral cybersecurity enhancements and a compliance framework that accounts for inherent biases. By doing so, we can create safer, more reliable AI services that bolster Africa’s digital trust and future.

Keywords: Cybersecurity; Africa; AI services; Dual reality; AI-cybersecurity upskilling premium; Wage inequality; Substitution effect; Brain drain (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-01214-2_24

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