Articles

“Deepfakes” are seemingly realistic videos generated by artificial intelligence. First seen on Reddit with pornographic videos doctored to feature the faces of female celebrities, deepfakes were made popular in 2018 by a fake public service announcement featuring former President Barack Obama. Words and faces can now be almost seamlessly superimposed.

The result: We can no longer trust our eyes.

In June, the House Intelligence Committee convened a hearing on the threat deepfakes pose to national security. And platforms like Facebook, YouTube and Twitter are contemplating whether, and how, to address this new disinformation format.

It’s a conversation gaining urgency in the lead-up to the 2020 election.

Yet deepfakes are no more scary than their predecessors, “shallowfakes,” which use far more accessible editing tools to slow down, speed up, omit or otherwise manipulate context.

The real danger of fakes — deep or shallow — is that their very existence creates a world in which almost everything can be dismissed as false.

BBC Click examines a system of artificial intelligence that hopes to be able to tell your gender, age and even your emotion

Artificial intelligence is everywhere and it’s already making a huge impact on our lives. It’s autocompleting texts on our cellphones, telling us which videos to watch on YouTube, beating us at video games, recognizing us in photos, ordering products in stores, driving cars, scheduling appointments, you get the idea. Today we’re going to explain what AI can (and can’t) do right now and explain how we got to where we are today.

Art Amador of AIEQ joins CNBC’s Bob Pisani, Seymour Asset Management’s Tim Seymour and CFRA’s Todd Rosenbluth to discuss a cutting-edge development in ETFs: using artificial intelligence and machine learning to run them.