Generative Adversarial Networks and ‘deepfakes’

I find it fascinating that current topics in Artificial Intelligence both scares and encourages me. In this case “Generative Adversarial Networks” is a way to pit two AI’s against each other, one trying to fool the other one about an image, gradually tweaking and adding snow to a summer scene, and then the other AI detecting falsehoods versus genuine photographs. With “deepfakes” gaining traction, the ability to make celebrities (or anyone) look like they’re doing or saying something that video never captured, how will WE or our tools be able to spot these fakes?

We’re living in an age when connectivity is both a wonderful asset and increasingly suspect. What can we trust if we can’t trust a video or audio clip?

CMIO’s take? Technology acceleration, done with good intention can help us live better lives. Turns out, there are a growing number of downsides, that will require good people working hard, to turn the tide.

Author: CT Lin

CMIO, UCHealth (Colorado); Professor, University of Colorado School of Medicine

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