It is 2025.
Indian Intelligence has petabytes of unclassified social media posts. Machine learning software isolate images of potential Criminal elements agitating protests, cross referencing cell phone pictures are posted on social media with traffic cameras, and more sensitive collection platforms.
Intelligence agency distribute the images of Criminal elements on a cellular alert network that lets concerned citizens turn their cell phones and other personal devices into a civil defense sensor network. This civil defense network acts as a cloud, helping cyber defense apps secure critical infrastructure and conducting predictive models of where possible cross-border insertions might occur based on historical data, weather, terrain, and news reports.
The technology in this future battlefield is already driving a wide range of commercial applications. From Amazon figuring out what book you want to buy next to Google optimizing the ads you see while searching, we live in a world defined by “big data” and artificial intelligence applications that identify patterns in our consumer habits and daily life. These applications have the potential to change the character of warfare. The countries that adapts accordingly and integrates artificial intelligence across the force will have a generational advantage on the battlefield.
The NIA & Indian army needs to develop a strategy for integrating narrow artificial intelligence applications into the force. Existing investments in artificial intelligence of most countries tend to emphasize future autonomous systems such as tanks, robot soldiers, and planes that can operate with minimal human input. An alternative approach is to experiment with predictive models and big data to increase the combat power of the current force and that can only be done by building a sensory network by setting sensors at strategic locations as well as using the mobile devices of citizen as virtual sensor network.
What is Artificial Intelligence?
Artificial intelligence is commonly defined as the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making & translation between languages. It can range from weak forms, such as narrow artificial intelligence, that processes big data to answer basic questions and generate predictions (e.g., Google maps helping you drive home) to strong forms such as “Artificial General Intelligence” and “Artificial Super Intelligence” that exceed human intelligence, creativity, and adaptability. Short of the promise of driver-less cars and robot servants, narrow forms of artificial intelligence like machine learning are starting to change sectors ranging from healthcare to logistics. With respect to public health, the flowminder.com uses narrow artificial intelligence to predict the spread of diseases. In logistics, machine learning is helping companies make supply chain adjustments, optimize delivery routes, and design warehouse systems. Vehicle manufacturer are applying artificial intelligence to improve predictive maintenance of motors. Volvo collects data with smart sensors on their vehicles and applies machine learning techniques to conduct diagnostics that reduce down time for services and better inform the resupply.
Artificial Intelligence for the defense forces
While many commercial applications of artificial intelligence are based on identifying patterns and trends using big data, most military applications focus on autonomous systems. Example of an artificial intelligence programs in the US governments unmanned undersea and aerial vehicle programs such as LOCOUST (Low-Cost Unmanned Aerial Vehicle Swarming Technology) & GREMLIN anti-surface-to-air missile drone program. Another ideas is for the army to leverage existing unmanned vehicle systems and develop a logistic system that can be used in combat scenario where multiple unmanned vehicles can intelligently follow a manned vehicle.Technology is being used for civilian services and it needs to be adapted by Intelligence agencies and armed forces. Border and Marine border security can be improved with reduction in human patrol by using Big Data & Predictive Data Analysis. Are armed forces & intelligence agencies already using these technologies?
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