Neural Networks and Cognitive Computing: Bridging AI with Human-Like Intelligence

Abstract

Artificial Intelligence (AI) is revolutionizing security and warfare, introducing both unparalleled opportunities and complex ethical dilemmas. AI-driven military applications include autonomous drones, intelligent surveillance systems, and cyber warfare mechanisms, significantly enhancing strategic operations. However, the delegation of critical decision-making to AI raises concerns about accountability, the erosion of human oversight, and the risk of unintended escalations. Ethical challenges revolve around the potential loss of human control, biases in AI algorithms, and the moral implications of autonomous lethal systems. The integration of AI in national security also presents legal ambiguities, particularly in international law and warfare conventions. On the technological front, advancements in machine learning, deep learning, and quantum computing are propelling AI-powered security solutions. Cybersecurity is increasingly dependent on AI for threat detection, risk assessment, and predictive analytics, aiding in proactive defense mechanisms. Despite its advantages, adversarial AI techniques pose significant threats, as they can manipulate data and evade detection. The balance between AI’s benefits and its risks necessitates robust policy frameworks, interdisciplinary research, and international cooperation to ensure ethical deployment. The future of AI in security and warfare hinges on responsible innovation, transparent governance, and adherence to humanitarian principles, ensuring that AI serves as a tool for stability rather than disruption.