What should marketers be aware of with regard to video deepfakes

If you've heard about "deepfake," you might immediately be thinking of fraud, ethically questionable and even disturbing videos that have been circulating all over the internet during the last couple of years. As fakes - and the AI technology that makes them remain in development, it is essential that marketers as well as creators from all fields be aware of how they operate and consider how they could be applied to stay and keep up with the ever-changing environment.

If you're not familiar, Deepfakes can be described as fake content that has been altered digitally to substitute an appearance convincingly. It allows them to create videos that look like real, but don't. It's why it's common to get negative rap for spreading inaccurate information and exploit the looks of individuals.

As with any technology however, it's all in the way you utilize it. Innovative marketers and designers have been using deepfake technology -legally and responsibly legally and ethically-to develop new forms of art as well as present brand new narratives as well as improve their own video marketing campaigns.

In this piece we'll look at some instances of how deepfake technology is being utilized to good ends and useful purposes, along with suggestions about ways to experiment with the tech yourself.

What's an authentic fake fake deepfake?

A deepfake is a film or audio file of an individual whose appearance or body is altered digitally. Deepfakes make use of AI to produce likenesses through patterns that identify facial appearance, tone and movement.

Some other definitions for a deepfake can include synthetic or artificial media or artificially-generated content.

HTML0A brief overview of deepfakes

The development of Generative Adversarial Networks (GAN) began the trend towards realistic fakes in the year 2014. GANs comprise two artificial intelligence systems, which make fake images and detect counterfeits that allow the AI to improve over time.

It is also possible to create them with a deep learning computer network, which is also referred to as a variable auto-encoder (VAE). VAEs are trained to encode images in low-dimensional representations of the subject. They then translate those representations back into moving images.

The phrase "deepfake" was not first coined until 2017, and during the year, media massed raised the alarm about fakes for the first time with a viral fake video that featured Barack Obama and Donald Trump being circulated across social networks.

However, deepfakes have additional uses that are becoming more important to marketers of all kinds and not only hackers or Internet trolls trying to distribute false information.

What are the effects of fake deepfakes?

Machine Learning AI is an essential component in the creation of an authentic fake. Deepfakes depend on this type of technology to detect patterns in images and data.

To make a fake, deepfake video, an artist has to feed the machine learning algorithm with an abundance of real footage, which then trains the deep neural network to identify patterns that appear in facial expressions, tone as well as other. The next step is combining these learnings with images.

It's not difficult to create an imitation, all you need is the existing video or audio of the person that you'd like to mimic. While it could seem difficult initially to create a fake, it doesn't require complicated tools - only basic knowledge of graphic design, along with the ability to edit videos.

Some examples of artistic video deepfakes

Marketers are at the beginning stage of using deepfakes and other AI methods to produce video content and digital marketing. The following deepfake examples aren't exactly in the marketing toolbox yet, but they showcase the potential of these AI techniques right now.

   1. Chris Shimojima's "Dolche Big Man" by Chris Shimojima"

This stunning Staff Picked music video from the filmmaker Chris Shimojima takes deepfake technology and turns it on its head, using faces from 14 different performers (and 40 contributors) within a single narrative. It's a striking surprising mix of technology and human voices.

   2. David Beckham's numerous different

Malaria must die made use of AI to influence soccer superstar David Beckham to speak in nine different languages. The team used fake technology to generate a massive impression and dramatically increase their campaigns' impact.

   3. Salvador Dali's museum greeting

It took more than 1000 hours of machine learning to enable museum visitors to the Dali museumMuseum to create their fake version of Salvador Dali perfectly. This new technology provides those who visit museums the opportunity to see things from a different angle and allows them to gain insights into art directly from the person who created it!

Three of the most common applications for deepfake technology for video

While some of the uses to use deepfakes may be beyond the typical marketer's capabilities however, there are a variety of inventive and thrilling methods to make use of the technology of deepfakes to your work.

• Lines that are not correct in a post: If you've had any editing expertise, you know the trials and hassles involved in editing audio recordings taken from an informal interview. In the event that your subject uttered a wrong word or did not respond in the entirety of a sentence or even in the full length of a sentence, using technology like deepfake to fill in the spaces is a fantastic way to keep your post production workflow running smoothly with no need to reshoot. (Just make sure you get the person's consent prior to doing this!)
     
  
• Customize videos for customers at a massive size of marketers can make use of simple personalization to send video greetings or videos for promotional purposes that contain customers' names as well as the names of their companies. You only need their names, and some audio from your camera in order for the technology of deepfake to add the information to any video.
     
  
• Translate your video Deepfake technology opens up an completely new world of easy translation. Instead of subtitles, AI is able to add voice and translated audio, or even created with an audio bank or the voice of the person who recorded it.

New technology, opportunities for new technologies

We don't know how future generations of AI will provide yet there's one thing for sure deepfakes won't disappear. Similar to other AI-powered technology (chatGPT perhaps? ) People who are willing to play with deepfakes with eyes open for potential mistakes are ready to be successful in today's ever-changing landscape of video.

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