Artificial Intelligence and the Changing Character of Violence: A Comparative Analysis of Security Dynamics in the United Kingdom and Africa

Abstract

The role of artificial intelligence (AI) in the modern system of security is gradually transforming and reshaping the nature of violence in the global contexts. Although AI is perceived as a technologically neutral innovation, the security of AI is highly contextualized by political, institutional, and regulatory contexts. This paper compares the intersection of AI with the dynamics of security in the United Kingdom and African states with a specific focus on defence, intelligence, policing, counterterrorism, and the overall system of governance. Based on theoretical arguments about remote warfare, algorithmic governance, surveillance-based security, and hybrid threats, the paper posits that AI alters the actor, means, and space of violence in a manner that looks beyond the traditional kinetic warfare. The analysis unveils that the United Kingdom introduces AI in relatively advanced technological systems and unified frameworks of regulations, which are supported by civilian governance and ethical control systems. By comparison, AI implementation in most African settings is realized in settings characterized by unequal institutional capacity, externality to technologies and less robust regulatory protection. Such disparities define contrasting security performances, even in the case of similar technologies used. Regardless of these distinctions, both scenarios are characterized by common weaknesses such as the problem of algorithmic bias, lack of accountability, and the decentralization of AI abilities to non-state actors. Nonetheless, the impacts of these risks are uneven, and the vulnerability of governance in most of the African contexts increases the possibility of abuse and authoritarianism supported by AI. The paper concludes that AI is not only a technical tool but a force-shifting technology the effects of which on violence depend on the context. The study therefore recommends increased equitable global AI governance as well as enhanced UK-Africa collaboration based on ethical principles, institutional capacity development, and context-specific security implementations.