Through a combination of machine learning and deep learning, the Central Intelligence Agency (CIA) is using powerful supercomputers, dubbed "Siren Servers" by computer philosophy writer Jaron Lanier, to predict social unrest days before it happens. The Sociable reports: CIA Deputy Director for Digital Innovation Andrew Hallman announced that the agency has beefed-up its "anticipatory intelligence" through the use of deep learning and machine learning servers that can process an incredible amount of data. "We have, in some instances, been able to improve our forecast to the point of being able to anticipate the development of social unrest and societal instability some I think as near as three to five days out," said Hallman on Tuesday at the Federal Tech event, Fedstival. The CIA deputy director said that it was "much harder to convey confidence for the policymaker who may make an important decision from advanced analytics with deep learning algorithms." Now that the CIA claims to be able to predict social unrest days in advance, there are some interesting theoretical possibilities that can come of this. One is that the CIA's siren servers will become so efficient that they will predict all social uprising and will be able to prevent it. If they are successful in doing that, there would be no need for the CIA as their technology could predict and prevent any societal upheavals, and the agency would be obsolete. Another potential outcome would be that the CIA could use the data and not tell anyone, just like the finance sector did, and then make calculated decisions on whether or not to intervene in any socially distressing situation.
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