Agentic Artificial Intelligence for Ethical Cybersecurity in Uganda: A Reinforcement Learning Framework for Threat Detection in Resource-Constrained Environments

This article proposes a reinforcement learning framework for ethical cybersecurity in a resource-constrained environment, specifically focusing on Uganda. The focus on ethical considerations and resource constraints suggests a practical and socially conscious approach to AI development. The use of reinforcement learning implies an adaptive and potentially effective method for threat detection. The title is clear and descriptive, outlining the key aspects of the research.