Antifragile Intelligence: A Triadic Framework for AI Governance, Digital Forensics, and Sovereignty in Emerging Economies

Abstract

In an era defined by extreme Volatility, Uncertainty, Complexity, and Ambiguity (VUCA), artificial intelligence (AI) governance must transcend passive compliance checklists to become an embedded, adaptive socio-technical architecture. This paper proposes a triadic synthesis of Reinforcement Learning (RL), Generative AI (GenAI), and Cybersecurity, organized within a Seven-Layer Integrated Architecture spanning perception, cognition, adaptation, generation, protection, embodiment, and governance. Central to the framework is a formal isomorphism between Predictive Processing (PP) and Reinforcement Learning, in which both systems minimize prediction error through Bayesian updating (Friston, 2010; Friston et al., 2009). This isomorphism is operationalized through a safety-constrained objective function that treats variational free energy as a regularizer, mitigating the class of failures known as “reward hacking” (Laidlaw et al., 2025; Shihab et al., 2025; Skalse et al., 2022). Illustrative comparison of the Asynchronous Advantage Actor-Critic (A3C) algorithm against legacy Q-Learning suggests materially faster and more stable policy convergence under the resource-constrained, high-packet-loss conditions typical of emerging economies. By integrating the sub-Saharan African relational philosophy of Ubuntu/Unhu with global AI4People principles (Floridi et al., 2018; Van Norren, 2023; Yilma, 2025), the framework embeds explicit digital forensics workflows and blockchain-anchored chain-of-custody protocols (Atlam et al., 2024; Patil et al., 2024). The framework is further extended and empirically grounded through a twentyproject, four-cluster Edge-AI case portfolio spanning domestic safety, environmental intelligence, sustainable energy and agriculture, and healthcare accessibility in the Indian context, demonstrating the triadic architecture’s applicability from enterprise-scale governance to grassroots micro, small, and medium enterprise (MSME) innovation. This synthesis serves as a blueprint for organizations in the Southern African Development Community (SADC) and India to assert digital sovereignty, ensuring that autonomous systems are antifragile, context-sensitive, and designed for communal flourishing rather than extractive optimization.