Where we are

Deep-learning has become so good at regenerating reality that fake media has become almost indistinguishable from real. Recent deepfake scams have led big tech and startups alike to invest huge amounts into combatting malicious AI.

Where we’re going

Authenticity is an important trend going forward. Google and Facebook have released large open-source databases of deepfakes in an effort to hasten the development of deepfake detection methods, but alas, good AI will struggle on in a tug of war against bad AI as they both learn and adjust at the same rate.

How to think about it

It’s wise to be ahead of the curve and treat potential threats as real, developing opposing intelligence resolutions in case they emerge. Or create the threat to resolve it – highlight the malicious possibilities of emerging technology, then sell the solution.

Signals

Deepfakes Could Anonymize People In Videos While Keeping Their Personality

Google Has Released A Giant Database Of Deepfakes To Help Fight Deepfakes

Adobe Trained Ai To Detect Facial Manipulation In Photoshop

Researchers Created AI That Hides Your Emotions From Other Ai