The possible development trend of the US military's intelligence collection in the future—integration of emerging technologies

In terms of technology, the US military will continue to introduce emerging technologies such as artificial intelligence and machine learning.

The U.S. military sees artificial intelligence (AI) technology as a force multiplier on the battlefield of the future. At present, a number of intelligence agencies, including the US Central Intelligence Agency (CIA) and the Defense Intelligence Agency (DIA), are actively exploring the application of artificial intelligence in intelligence work, and have funded a number of private companies in the field of artificial intelligence in the field of national security intelligence. Smart item. According to the information disclosed by Dawn Meyerick, the deputy director of technology development of the CIA, there are currently 137 related projects supported by the CIA alone. Artificial intelligence technology is constantly being integrated into the intelligence work of the U.S. military and plays an important role in two aspects.

The first is to strengthen the collection capabilities of each platform.

In terms of open source intelligence, the U.S. military uses a large number of analysis platforms based on machine learning and artificial intelligence technology to screen data from social media to achieve automated detection, improve data crawling efficiency, and optimize the quality of detected information.

In terms of signal intelligence, artificial intelligence and machine algorithms have strong perception capabilities for messy communication signals, which can effectively improve the efficiency of signal intelligence collection and processing.

In terms of geospatial intelligence, the U.S. military has begun to use artificial intelligence technology to carry out target recognition and task automation. For example, through automated image analysis software, different data from different collection sources are integrated, and abnormalities are automatically identified, requirements are discovered, and trends are monitored.

The second is to promote the intelligent development and efficient development of collection and management work.

The U.S. military believes that automation and machine learning can help the U.S. military establish regular action models and issue timely warnings when opponents make abnormal actions, so that intelligence collection can adapt to rapidly changing enemy actions and combat environments.

In terms of technical collection, artificial intelligence, multi-modal sensors, cloud computing and other technologies may realize intelligent formulation of collection plans and automatic distribution of collection tasks.

In terms of manpower collection, digital technology is changing the traditional agent development process. In the future, the recruitment and command of agents may no longer rely on face-to-face contact, thereby reducing the risk of exposure.

In the not-too-distant future, artificial intelligence technology may become a sharp weapon for the U.S. military to maintain its strength advantage and respond to threats and challenges.

The U.S. military may accelerate the integration of artificial intelligence technology into intelligence collection management, predict collection tasks through artificial intelligence, deploy collection platforms according to the time and space requirements of tasks, and apply deep learning technology to carry out intelligent decision-making and adaptive task allocation.

In addition, if artificial intelligence masters the working methods of collection managers through in-depth learning, the future intelligence collection and management work of the US military may be divided into two modes.

When top-down, the collection management system identifies requirements based on intelligence priorities from national-level decision makers. When bottom-up, each unit submits the priority of collection targets and collection assets through the collection management system belonging to this level.

Such a collection management model will make future collection operations more adaptable to the future combat environment and help intelligently deploy various high-tech collection platforms.