Hitting The Books: How IBM’s Metadata Research Made US Drones Even Deadlier

From the protected distance of their corporate workplaces, IBM’s data scientists viewed the problem as one greatest addressed by knowledge extraction and social media analysis. Setting aside the many variables that existed in the circumstances of makeshift refugee camps and the dozens of assumptions used to categorise terrorist habits, IBM created an experimental “terrorist credit score” to weed out ISIS fighters from refugees. Analysts harvested a miscellany of unstructured data, from Twitter to the official checklist of those that had drowned alongside the many capsized boats off the shores of Greece and Turkey. Additionally they made up an information set, modeled on the forms of metadata obtainable to border guards. From these disparate measures, they developed a hypothetical risk rating: not an absolute indicator of guilt or innocence, they identified, but a deep “insight” into the individual, including previous addresses, workplaces, and social connections. Meanwhile, Syrian refugees had no knowledge that their personal data was being harvested to trial a system that may single them out as potential terrorists.

9 years ago

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