British Army has used Artificial Intelligence (AI) for the first time
Artificial Intelligence used on Army operation for the first time
The British Army has used Artificial Intelligence (AI) for the first time during Exercise Spring Storm, as part of Operation Cabrit in Estonia.From: Ministry of Defence text and photos copyright
Soldiers from the 20th Armoured Infantry Brigade used an AI engine which provides information on the surrounding environment and terrain.
Through the development of significant automation and smart analytics, the engine is able to rapidly cut through masses of complex data. Providing efficient information regarding the environment and terrain, it enables the Army to plan its appropriate activity and outputs.
The Army’s Director of Information, Major General John Cole said:
The deployment was a first of its kind for the Army. It built on close collaboration between the MOD and industry partners that developed AI specifically designed for the way the Army is trained to operate.
The lessons this has provided are considerable, not just in terms of our support to deployed forces, but more broadly in how we inform Defence’s digital transformation agenda and the best practices we must adopt to integrate and exploit leading-edge technologies.
This AI capability, which can be hosted in the cloud or operate in independent mode, saved significant time and effort, providing soldiers with instant planning support and enhancing command and control processes.
Announced by the Prime Minister last November, Defence has received an increase in funding of over £24 billion across the next four years, focusing on the ability to adapt to meet future threats. Further outlined in the Defence Command Paper, the MOD intends to invest £6.6billion over the next four years in defence research and development, focusing on emerging technologies in artificial intelligence, AI-enabled autonomous systems, cyber, space and directed energy systems.
20th Armoured Infantry Brigade and user of the AI, Major James Mcevoy said:
This was a fantastic opportunity to use a new and innovative piece of technology in a deployed environment. The kit was shown to outperform our expectations and has clear applications for improving our level of analysis and speed at which we conduct our planning. I’m greatly looking forward to further opportunities to work with this.
In future, the UK armed forces will increasingly use AI to predict adversaries’ behaviour, perform reconnaissance and relay real-time intelligence from the battlefield.
During the annual large-scale NATO exercise, soldiers from France, Denmark, Belgium, Estonia and the UK used the technology whilst carrying out live-fire drills.
Operation Cabrit is the British Army’s deployment to Estonia where British troops are leading a multinational battlegroup as part of the enhanced Forward Presence.
Artificial Intelligence has already been incorporated in a number of key military initiatives, including the Future Combat Air System, and is the focus of several innovative funding programmes through the Defence and Security Accelerator.
NOTE: What is artificial intelligence?
The lack of clarity around the term enables technology pessimists to warn AI will conquer humans, suppress individual freedom, and destroy personal privacy through a digital “1984.” Brookings Institute.
Artificial intelligence algorithms are designed to make decisions, often using real-time data. They are unlike passive machines that are capable only of mechanical or predetermined responses. Using sensors, digital data, or remote inputs, they combine information from a variety of different sources, analyze the material instantly, and act on the insights derived from those data. As such, they are designed by humans with intentionality and reach conclusions based on their instant analysis.
An familiar example is from the transportation industry. Autonomous vehicles are equipped with LIDARS (light detection and ranging) and remote sensors that gather information from the vehicle’s surroundings. The LIDAR uses light from a radar to see objects in front of and around the vehicle and make instantaneous decisions regarding the presence of objects, distances, and whether the car is about to hit something. On-board computers combine this information with sensor data to determine whether there are any dangerous conditions, the vehicle needs to shift lanes, or it should slow or stop completely. All of that material has to be analyzed instantly to avoid crashes and keep the vehicle in the proper lane.