Anti-Terrorist Data Mining Doesn't Work Very Well

Presto Vivace and others sent us this CNet report on a just-released NRC report coming to the conclusion, which will surprise no one here, that data mining doesn't work very well. It's all those darn false positives. The submitter adds, "Any chance we could go back to probable cause?" "A report scheduled to be released on Tuesday by the National Research Council, which has been years in the making, concludes that automated identification of terrorists through data mining or any other mechanism 'is neither feasible as an objective nor desirable as a goal of technology development efforts.' Inevitable false positives will result in 'ordinary, law-abiding citizens and businesses' being incorrectly flagged as suspects. The whopping 352-page report, called 'Protecting Individual Privacy in the Struggle Against Terrorists,' amounts to [be] at least a partial repudiation of the Defense Department's controversial data-mining program called Total Information Awareness, which was limited by Congress in 2003."

Comments

Profiles also work in reverse

[davidwr]

As any Cold War spy can tell you, if you "fit the profile" of a normal law-abiding person with just enough "off-perfect" things in your life so you don't seem "too perfect," it's much easier to blend in.

Re:Seems

[Martin Blank]

I seem to recall that much of this was gutted by Congress in the 1990s when they didn't want intelligence operatives paying off criminals for information, on the risk that the money might be tied back to the United States. This severely nerfed the ability of the CIA (among others) to gather HUMINT, as paid informants were a significant source of the information required to infiltrate the groups in the first place. I don't recall if this was ever overturned, though.

Re:Seems

[Ethanol-fueled]

Don't forget about the military, who stupidly booted some of their translator recruits (yes, middle-eastern languages) for being....OMG TEH GAY!!!1!