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In Israel, for instance, we have one of the largest laboratories for A.I. surveillances in the world — it’s called the Occupied Territories. In fact, one of the reasons Israel is such a leader in A.I. surveillance is because of the Israeli-Palestinian conflict.Explain this a bit further.Part of why the occupation is so successful is because of A.I. surveillance technology and big data algorithms.

As machine learning becomes more powerful, the field’s researchers increasingly find themselves unable to account for what their algorithms know — or how they know it.

The researchers culled tens of thousands of photos from an online-dating site, then used an off-the-shelf computer model to extract users’ facial characteristics—both transient ones, like eye makeup and hair color, and more fixed ones, like jaw shape. Then they fed the data into their own model, which classified users by their apparent sexuality. When shown two photos, one of a gay man and one of a straight man, Kosinski and Wang’s model could distinguish between them eighty-one per cent of the time; for women, its accuracy dropped slightly, to seventy-one per cent.

There’s nothing intrinsically bad about e-mail as a tool. In situations where asynchronous communication is clearly preferable—broadcasting an announcement, say, or delivering a document—e-mails are superior to messengered printouts. The difficulties start when we try to undertake collaborative projects—planning events, developing strategies—asynchronously. In those cases, communication becomes drawn out, even interminable