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© KYODODefense Ministry rolls out 1st policy to promote AI use
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© KYODO
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Ricky Kaminski13
Sky netto staaaarto!
Just kidding, hopefully. The streamlining of the ministries work, in fact the streamlining of the entire paperwork system across ALL industries and institutions will be one of AIs greatest potential benefits to the Japanese working landscape. Thats gunna free up alot of hands right there. Who doesn't want a bot to do their paperwork for them?
piskian
Will AI be able to communicate with Defense Ministry?
Can it operate fax?
BertieWooster
If AI is labour saving and reduces the need for so many employees, are we going to see huge staff cuts and tax reductions as a result?
Somehow I don't think so!
リッチ
They need some AI clearly.
Desert Tortoise
It has nothing to do with saving labor or reducing the number of employees. AI in a military organization is going to be used to speed up the decision making process and improve decisions during combat. Imagine a group of ships under sustained attack, missiles coming in from two directions and attacking aircraft approaching from yet another direction. Sorting out the various attacks, deciding what weapons to employ on each and in what order takes time for humans to accomplish. Using AI as part of a battle management system can speed up the decision making process and greatly reduce mistakes because you already taught the system how to respond to a whole big menu of threats. Think about it, you have to have all these different ships respond in the most efficient and effective manner possible. Multiple commanders, multiple crews but an integrated battle management system talking to all the ships and using AI can speed up the defensive response quite a bit.
In a sense the Aegis battle management system that has been around since the 1980s is an early form of AI since it can automate the response to an attack. It just wasn't called AI back then.
Sven Asai
Good luck with this one. Rofl
Combat operations become speedy, yes, but no one knows, what those will look like or bring as results. Reduction of human error is then in fact only a replacement by AI errors and hallucinations. And labor-saving is in fact then a strongly rising of workloads, because you not only need first the same or more knowledge than AI so that you can handle it and verify all its potentially wrong or wrongly calculated outputs, but also you need much more resources and skilled people for more of such verifications as it becomes more speedy like anticipated already under point one.