In the telecasting show Person of Interest the Machine utilise government activity surveillance data to auspicate individuals who will be involved in a crime , whether as a culprit or a dupe . How close are we to a real - life reading of the simple machine ? Current statistical mould systems hint we ’re not far off .
A new article in theEconomistexamines a handful of systems used for varied prognosticative purposes . The first is Spatio - Cultural Abductive Reasoning Engine , well known by the ominous acronym SCARE , developed by computer scientists at the United States Military Academy at West Point . The purpose of SCARE is to predict the behavior of a notoriously hard to anticipate grouping : guerrilla regular army . While military tactician may have fuss foreshadow the apparent motion of guerrilla , SCARE relies on analysis of the deportment of guerrilla in Iraq and Afghanistan to come up with accurate predictions . For example , when essay to find out where guerrillas flora bombs , SCARE produce models based on late bombardment sites , topographical and street map datum , as well as the ethnic , linguistic , and attitudinal data of the people in the neighborhood . Today , SCARE can predict a munition plunge within about 700 meters , and project drawing card Major Paulo Shakarian is upgrading the system to include sound traffic data .
The US Navy has its own mould system , yell RiftLand . RiftLand , which is being grow by computer skill prof Claudio Cioffi - Revilla at George Mason University , focuses on East Africa around the Great Rift Valley . Using data from openhearted organisation , academic groups , and political science , RiftLand seek to bring clarity to the complexities of the part , where many of the state are dealing with civil dispute . In a place where central governments are not the driving force , RiftLand has to make its predictions free-base on very specific details about much low groups — which groups bring home the bacon sure types of service , which groups value those service , which groups are potential to see hostilities toward one another , and which groups are likely to owe other groups favors .
Meanwhile , systems like MIT ’s Condor , Aptima ’s Epidemiological model of the Evolution of MEssages ( Es - MEME ) , and Lockheed Martin ’s Worldwide Integrated Crisis Early Warning System ( W - ICEWS ) analyze web log , tweets , Facebook , intelligence medium , and other web site to measure the social barometer . And yes , politicians and governments are using these sentiment analyses to predict the likelihood of protests and demonstrations .
As impressive ( and perhaps direful ) as these systems are becoming , they still rely on a strong human element . the great unwashed must understand how other people mesh — their values and interests — and how their conduct can be influenced . So the Machine could someday be real — provided a homo is constantly teaching it what all that surveillance data really think of .
What makes heroic strife[The Economist — Tip of the lid to Mike for bringing this to our attention ]
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