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The Paradox of Modern Warfare and the Role of AI

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Modern warfare presents a paradox. Despite increased intelligence on the battlefield, soldiers may have less time to use it. A drone might be detected, classified, tracked, and neutralized by various systems. However, if these systems do not converge effectively for the soldier with seconds to act, technological superiority becomes ineffective. This gap is fundamental and dangerous for our warfighters.

In drone warfare, success hinges on the operator’s capabilities. The advantage lies not with the military that has superior drones, but with the one that integrates intelligence and capability around the soldier, offering a decision advantage at rapid speeds. For years, military advances in sensing, communication, and precision have been remarkable. Yet, drone warfare exposes vulnerabilities. A small air threat can emerge suddenly, leaving soldiers barely any time to comprehend and respond.

The challenge is not the existence of information, but whether the person in need can understand and react in time. Information superiority does not equate to decision superiority. Even surrounded by sensors, a warfighter might lack clarity on the next steps. With more capabilities bringing more data, complexity increases, overburdening the individual.

Militaries are enhancing electronic warfare systems, yet integration remains an issue. Systems should be built around the operator, similar to an Iron Dome for individuals. Sensors, autonomous assets, and defense mechanisms must converge through a common coordination layer that simplifies complexity and clarifies threats and options for operators.

Artificial Intelligence (AI) with agentic capabilities could transform operational processes. Such AI systems can manage tasks and tools, processing data, classifying threats, identifying defenses, and offering options. This eliminates the need for operators to navigate multiple systems. It is crucial to provide what operators need when they need it, maintaining human authority.

The perspective stems from diverse experiences. One author served two decades in Army Special Operations with multiple combat deployments, another focuses on AI and systems design, while the third uncovered issues in military aircraft production. All experiences converge on the idea that technology should enhance, not overshadow, the operator’s abilities.

This technological integration could give soldiers a tactical edge by simplifying interfaces and improving decision-making. Command structures remain crucial but can benefit from enhanced situational awareness. Such systems must function under battlefield conditions, even when communications fail, GPS is unreliable, and networks are compromised, as adversaries may disrupt information flow.

“The challenge lies in building battlefield AI for degraded environments to ensure functionality when distant command centers or cloud connections are unavailable.”

The Pentagon should broaden its counter-drone performance metrics. While detection range, interception accuracy, and cost remain vital, the emphasis should also be on the response time for human action. Earlier detection is pointless if decision-making is complicated. The risks are real; AI can misidentify threats or fail under certain conditions. Excessive reliance on machines poses a serious danger in lethal contexts. Human oversight is essential, allowing operators to understand and control decisions.

The U.S. must rethink its approach. Relying solely on technology isn’t enough. The key is reducing complexity. As drones proliferate, the window for decisions narrows. More sensors won’t help if operators can’t act swiftly. The military that best integrates systems, compresses decision time, and delivers intelligence to those in immediate danger will dominate drone warfare.

The goal of battlefield AI is not to exclude humans but to enhance their advantages in combat.

Thomas Payne received the Medal of Honor for his service in Iraq in 2015. Cesar R. Hernandez is affiliated with Harvard’s Kennedy School and MIT Media Lab, while Alan M. Cohn is an award-winning journalist.
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