Let’s hope the NSA hasn’t actually used this machine-learning model to target drone strikes

The data set used to train it was ‘totally inadequate,’ one expert says The entrance to the National Security Agency headquarters in Fort Meade, Maryland. Credit: National Security Agency IDG News Service Feb 22, 2016 3:19 PM The U.S. National Security Agency could be relying on a seriously flawed machine-learning model to target drone strikes in Pakistan, according to a new analysis of slides uncovered last year by whistleblower Edward Snowden. Published last May by The Intercept, the slides detail the NSA’s so-called Skynet program, in which machine learning is apparently used to identify likely terrorists in Pakistan. While it’s unclear if the machine-learning model has been used in the NSA’s real-world efforts, it has serious problems that could put lives at risk if it were, according to Patrick Ball,…


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