AI won it for Brexit

In many ways, this is the most disturbing story I read in recent… days? Months? Maybe years?

The title is (relatively speaking, in this day and age) innocuous enough (if perhaps a little sensationalist): “Revealed: how US billionaire helped to back Brexit“. Yeah, sure. Billionaires are evil SOBs, we knew that already, and now a bit of investigative journalism dug up another reason why we should hate them. Big deal… you could be forgiven if you moved on to read something else, maybe the bit about Trump snubbing the White House Correspondence Dinner or Fox News using a phony “Swedish defense advisor” to curry favor with the President.

But if you choose to read this article, it reveals something else. It reveals how the Leave campaign in the Brexit vote received assistance provided by artificial intelligence software to build profiles of up to a million voters and create highly targeted campaigns on social media.

Back when the nightmare of the machines taking over was first discovered in the science fiction literature, it was usually envisioned as a clean break: First the humans are in charge, but then comes Judgment Day and the machines take over.

Reality is a lot messier, for both humans and machines. There is no clean break. The ever increasing power of the machines is harnessed by ever more reckless humans, manipulating humanity in unexpected ways. Machines manipulating elections or referenda at the bidding of sinister humans… in many ways, that is the worst of possible worlds.

It makes you feel helpless, for one: You realize that nothing you can do on social media, nothing you can say in your blog will amount to one iota, as the machines have an infinitely greater capacity to analyze data and assess outcomes.

And it also makes you fearful. AI (for now) has no compassion or conscience. It will lie or make up “fake news” without remorse. It will (for now) do its masters’ bidding, even if those masters are sociopaths.

So no, folks, don’t delude yourselves. Judgment Day may already be here. It’s just coming one little data point, one neural network, one deep learning algorithm at a time.