AI in Indian Air Force: It's already showing results, says IAF chief

By Anish Kumar | First Published Apr 5, 2021, 6:15 PM IST

Artificial Intelligence can give models with impeccable logic to prove that the proposed solutions are the best, Air Chief Marshal RKS Bhadauria said.

Indian Air Force will soon have Artificial Intelligence-assisted next-gen technologies employed for threat monitoring in its captive networks, including the current network upgrades, Air Chief Marshal RKS Bhadauria said on Monday.

Speaking at E-symposium on AI for Air Warriors organised by the FICCI in New Delhi, the IAF chief said, "If we intend to utilise AI heavily in combat aviation, we may need to redefine or even abandon some traditional principles. These principles are not strict or templated. Essentially different nations with different threat perceptions would have different requirements and this would have evolved over a period of time and experience."

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AI can give you models with impeccable logic to prove that the proposed solutions are the best, he said.

Speaking about AI in air warfare, he said it can bring enormous changes in the way air wars are fought in the aerospace domain.

Talking about incorporating AI into the IAF, ACM Bhadauria said, "Our entire inventory management has been computerised and digitised and we have already started to work on AI-based formulation so as to come out with predictive maintenance or predictive threat scenario."

"We have started testing AI and AI-based applications on some projects which are at different stages. We have already improved our operation efficacy by shrinking timelines in the entire chain."

On training strategy, the IAF chief said, "We have already working on effective training strategies where data recorders examples are being used to identify outliers in pilot performance be it in operations, exercises using AI techniques to determine the strong and weak points in terms of manoeuvring or overall orientation, etc."

Earlier, he said "to optimally use the AI we must first decide as to when the system should be supervised by the human and when not. This is the decision that should involve technical logic and questioning. Humans are designed to be more effective at problem-solving whereas AI thrives in an environment with high correlation and underlying patterns."

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