Generating Fake Voters?

Not until now, perhaps, but it has become possible.

Artificial intelligence has come a long way in the past couple of decades. From the first computer to beat a human chess champion (IBM’s Deep Blue defeated world champion Garry Kasparov in 1997) to the first to beat a 9 dan Gō player (AlphaGo defeated Lee Sedol in 2016, 9 dan is the highest professional Gō rank) to the ability to learn and analyze massive datasets and guide governments and businesses around the world, AI is now indispensable. And it’s improving ever faster, most often nowadays teaching itself.

One of the last fields to be conquered, because it is one of the most difficult for computers, is visual processing. Face recognition has been an especially tough nut to crack for AI programmers. And until recently, face generation has been primitive, creating video-game-quality results at best.

Until now.

An article in the New York Times explains that ultra realistic face generation is now with us. With it comes the possibility to generate fake people, which don’t even use photos of real people for their look.

If there’s a non-nefarious reason to create people out of thin air, I can’t think of it. And, considering the massive fraud committed in this year’s election, if it’s not already being used for that purpose, it won’t be long until it is.