How Close Are We to the Perfect Deepfake?

The video discusses deep fakes, a technology using AI and machine learning to create realistic fake videos. It explores their applications, ethical concerns, and the technical workings of GANs. The challenges in detecting deep fakes and the future of audio fakes are also covered, along with potential solutions using metadata.

What is a deep fake?

• A type of video game

• A video altered using AI to show someone doing or saying something they didn't

• A new movie editing technique

• A computer-generated image

What technology is primarily used to create deep fakes?

• Quantum Computing

• Virtual Reality

• Blockchain

• Generative Adversarial Networks (GANs)

What is the role of the discriminative network in creating deep fakes?

• To generate fake images

• To detect whether an image is real or fake

• To improve the quality of fake images

• To store training data

Why is detecting deep fakes becoming more challenging?

• Because they are only used for harmless purposes

• Because people are not interested in detecting them

• Because the technology to create them is improving

• Because they are no longer being made

What is considered the biggest hurdle in creating convincing deep fakes?

• Video quality

• Audio synchronization

• Voice imitation

• Lighting effects

How is True Pick attempting to combat deep fakes?

• By banning deep fake technology

• By using metadata to verify authenticity

• By creating fake audio clips

• By creating better deep fakes

What is one method being explored to identify fake audio clips?

• Adding a watermark to the audio

• Using high-definition cameras

• Increasing the volume

• Changing the pitch