The globe has undergone a tremendous technological transformation. Artificial intelligence and data science have had a beneficial and detrimental influence on human life across a range of platforms and businesses. We’ll discuss cutting-edge technology called Deepfake in this post.
What is Deepfake AI?
Deepfake technology, often known as AI that lies, gets its name from deep learning, a type of AI. In deepfake AI, faces are swapped in movies, photographs, and other digital information to make the fake look authentic. Deep learning algorithms are used to train themselves on how to solve problems using enormous data sets.
By utilizing two algorithms that are in competition with one another, deepfake material is produced. One is referred to as a generator, and the other as a discriminator. The discriminator is tasked with determining if the generated fraudulent digital stuff is real or manufactured. Every time the discriminator properly distinguishes between authentic and false content, it sends that knowledge to the generator to enhance the subsequent deepfake.
These two algorithms combine to create a generative adversarial network known as GAN. It trains itself to detect patterns using a series of algorithms, which enables it to understand the genuine properties required to create false pictures.
What is the Use of a Deepfake?
Deepfake is mostly employed for amusement. As an illustration, consider the renowned deepfake roundtable, which included some extremely well-known figures including Tom Cruise, George Lucas, Robert Downey Jr., and Jeff Goldblum. The purpose of this roundtable was for streaming providers to get your attention by including these celebrities in a humorous film debating streaming and the future of movies.
Deepfake’s principal objective is to persuade viewers and listeners to believe something that did not actually occur. Because of this, it is typically employed in movies to create a creative impact when the performers are not there. Another well-known instance is when deepfake was used in the Star Wars films to depict characters as they were as children or to replace characters who had passed away. In fact, there have been instances where online businesses have made advantage of this technology to provide customers the option to virtually try on clothing and accessories.
However, the examples provided up to this point were only provided for amusement. The situation turns shady when individuals utilize this technology to commit financial fraud, data breaches, phishing scams, automated misinformation assaults, and the dissemination of misleading information from a source that might normally be trusted.
How Can You Spot a Deepfake?
Now comes the crucial query. How can you recognize deepfake videos?
Here are some indicators you may use to spot deepfake videos:
- Uncomfortable / Awkward facial expression
If a person’s nose points in one direction but their face points in another.
- Unusual bodily movement
when a person’s appearance is warped or their motions are jerky.
- Unnatural coloring
Discoloration, misplaced shadows and abnormal skin tone are signs that you are watching a deepfake.
- Misalignment
when the images are crooked or fuzzy.
- When you zoom in or slow down, the pictures seem strange
When you zoom in on a video and watch it on a wider screen, you can see details like poor lip-syncing more clearly.
- Unreliable audio
The video pictures take up more time in deepfakes than the audio editing. Be on the lookout for odd word pronunciations, digital background noise, or even the lack of noise.
- There are no blinks.
Without blinking an eyelash, you can detect if someone is speaking by looking at their face. That’s a pretty telling symptom of a profound fake.
How Can Technology Be Used to Counter Deepfakes?
To make sure that deepfakes do not endanger lives and that AI is utilized for good, many groups have joined forces. These are them:
- Google develops technologies for text-to-speech conversion to authenticate speakers.
- Deeptrace is an Amsterdam-based firm that creates deepfake AI detection technologies. comparable to a Deepake Antivirus.
- Using a program named MediFor or Medical Forensics, the US Defense Advanced Research Projects Agency (DARPA) is financing research to develop automated deepfake screening.
- With Adobe’s technology, you may add a signature to your material to describe how it was made.
- Facebook and Twitter have formally outlawed the use of harmful deep fakes.
- Sensity has created a platform for deepfake identification that sends customers email notifications when they are watching something fake.
