Threats and Opportunities in AI-generated Images for Armed Forces

2025-03-31

AI Summary

This paper examines the dual impact of generative AI imagery on military information operations. It addresses emerging threats—including cognitive deception, public opinion manipulation, and disruption of operational tempo—posed by AI-generated images in the information domain. Methodologically, it introduces, for the first time, the theoretical framework of “AI imagery as an offensive maneuvering instrument in the information domain,” integrating diffusion model technologies, information warfare theory, cognitive psychology, and military communication science in a cross-disciplinary analysis. The study innovatively develops a two-dimensional “Threat–Opportunity” assessment matrix to systematically identify tactical potentials and risks of AI imagery across intelligence reconnaissance, cognitive offense-defense, and narrative shaping. Key contributions include a joint-service response architecture encompassing detection and mitigation, resilience enhancement, and countermeasure execution—providing both theoretical foundations and actionable pathways for intelligent information confrontation. (149 words)

Technology Category

• Humans and AI: Game Design — Procedural Content Generation & Storytelling
• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Computer Vision: Generative Adversarial Networks (GANs) for Vision

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications

Abstract

Images of war are almost as old as war itself. From cave paintings to photographs of mobile devices on social media, humans always had the urge to capture particularly important events during a war. Images provide visual evidence. For armed forces, they may serve as the output of a sensor (e.g. in aerial reconnaissance) or as an effector on cognition (e.g. in form of photographic propaganda). They can inform, influence, or even manipulate a target audience. The recent advancements in the field of generative Artificial Intelligence (AI) to synthesize photorealistic images give rise to several new challenges for armed forces. The objective of this report is to investigate the role of AI-generated images for armed forces and provide an overview on opportunities and threats. When compared with traditional image generation (e.g. photography), generative AI brings distinct conceptual advantages to implement new tactical tenets and concepts which so far have not been feasible: masses of AI-generated images can be used for deceptive purposes, to influence the pace of combat in the information environment, to cause surprise, sow confusion and shock. AI-generated images are a tool favoured for offensive manoeuvres in the information environment. To prepare for future challenges involving AI-generated images and improve their resilience, recommendations are given at the end of the report for all branches of the armed forces, who are active in cyber defense and/or exposed to the information environment.

Problem

• Investigates AI-generated images' role in armed forces
• Explores AI images' deceptive and offensive potential
• Provides resilience strategies for military cyber defense

Innovation

• Generative AI synthesizes photorealistic deceptive images
• AI-generated images manipulate information environment pace
• Offensive maneuvers use AI images for confusion