Machine-Learning Algorithm Can Show Whether State Secrets Are Properly Classified
The U.S. State Department generates some two billion e-mails every year. A significant fraction of these contain sensitive or secret information and so have to be classified, a process that is time-consuming and costly. In 2015 alone, it spent $16 billion to protect classified information. But the reliability of this process of classification is unclear. Nobody knows whether the rules for classifying information are applied consistently and reliably. Indeed, there is significant dispute over what even constitutes information that should be classified. What’s more, it’s easy to imagine that human error plays a considerable role in the misclassification of official secrets. But nobody knows how significant these errors might be. Today that changes thanks to the work of Renato Rocha Souza at the Brazilian think tank Fundação Getulio Vargas in…
Link to Full Article: Machine-Learning Algorithm Can Show Whether State Secrets Are Properly Classified
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