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Patterns-of-Life (last edited: 2024)

Revuelta
Marta Revuelta
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In 2017, the U.S. Department of Defense announced the launch of Project Maven, also known as the Algorithmic Warfare Cross-Functional Team (AWCFT). This program aims to integrate artificial intelligence (AI) and machine learning into military operations to maintain a strategic advantage over increasingly sophisticated adversaries. The primary objective of Maven is to develop an automated analysis system capable of identifying targets and spotting suspicious activities through machine learning algorithms and advanced computer vision techniques. One year after its launch, the DoD revealed that the program was using an AI algorithm to autonomously recognize and identify targets, marking a significant advancement towards achieving one of Maven's objectives: to develop and integrate computer vision algorithms to assist military analysts overwhelmed by a constant flow of video data. Inspired by the Maven project, “Patterns-of-Life" offers an immersion into the perspective of a military drone, embodying the algorithmic eye of war. Trained on real combat videos collected from social networks and YouTube, the videos present a pattern recognition system to predict human behavior from movements and postures, assessing the hostile or neutral potential of a target. It thus explores the concept of "lethal autonomous targeting" by an AI system capable of differentiating between combatant actions and civilians, presented in an urban context where technology is revealed in everyday scenes. “Patterns-of-Life” emphasizes the fundamental importance, stated in the Geneva Conventions, of distinguishing between civilians and combatants. A mission that, once, was the responsibility of commanders and soldiers, now relies on software analyzing data collected by sensors. Patterns-of-Life invites us to reflect on the role we want technology to play in resolving conflicts and preserving innocent lives. It leads us to question the future of increasingly automated warfare and the issues of responsibility that arise. It asks: will life-or-death decisions be entirely delegated to machines? How will we recognize this shift?
typeresearch exposition
keywordsProject Maven, Algorithmic Warfare Cross-Functional Team (AWCFT), Artificial Intelligence (AI), Machine Learning, Military Operations, Automated Analysis System, Target Identification, Suspicious Activity Detection, Computer Vision Techniques, Autonomous Target Recognition, Patterns-of-Life, Military Drone Perspective, Algorithmic Eye of War, Recognition System, Human Behavior Prediction, Lethal Autonomous Weapons, AI Warfare, Responsibility in Warfare, Life-or-Death Decisions, Future of Warfare
date08/03/2024
last modified08/04/2024
statusin progress
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copyright©revuelta
licenseAll rights reserved
urlhttps://www.researchcatalogue.net/view/2636832/2636833


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namePattern-of-Life 1/3
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