With the increase of camera apps, masses are producing content that is beyond thinking. Some are making their skin look pimple free and gorgeous, whereas others add animal ears to their pictures. All this doesn't end here, and however, it has just started. Nowadays, tech users are creating false videos that look real with a real voice. With the assistance of artificial intelligence, these masses are producing videos that are false but look exactly real. The technology used to create such false videos and other digital content is termed "deep fake technology". To know about data science and protect yourself from such videos, it's best to opt for a data analyst course online.
What Is Deepfake Technology?
"Deepfake" is a mixture of two words - deep learning & fake. As we know, the future of AI is bright, but these fake videos pose a harmful threat to humanity. Deepfake, a form of artificial intelligence, is raising the bar of legal issues and challenging the policy. According to the experts, a person who has access to the Internet and owns a computer can easily create deepfake videos. These videos are false and are made with the help of deep learning. This content can pose a great threat to numerous people by using machine learning and data science.
How does Deepfake work?
By adequately studying multiple videos and images of a specific person, deepfake will mimic its behaviour and speech criteria. The preliminary fake is produced by using a deep learning system. Once the first step is completed, the next step is to detect the flaws in the video by using GANs, short for generative adversarial networks. Step by step, this will detect the flaws and remove them eventually. This step is repeated again and again until the user gets flawless video as a result. In this way, a fake video is made to look real in the eyes of viewers.
What is the Real Danger of Deepfake to Humans?
With the increasing threat of deepfake videos, organizations and masses need to be extra cautious by recognizing its potential risks to humans. This system has affected media stars like Scarlett Johansson, Nicolas Cage and Emma Watson. Not just this, deepfake videos haven't spared the political leaders Angela Merkel. What's more concerning about deepfake technology is that it is way harder to recognize them. Now, this technology is making its way towards businesses and organizations. Here is how deepfake videos can influence businesses and organizations!
1. C-Level fraud - This is one of the most prominently used methods by fraudsters. They place a call directly to the company's employees and make them feel like they are the CEO or CFO of the company. Thus, asking them to transfer a good amount of money to their account.
2. Extorting companies or individuals - Next, deepfake technology can extort companies or individuals using deep learning systems. They transfer videos and images to media files, resulting in a video that shows a person giving a false statement. This is a way by which fraudsters can blackmail the company.
3. Manipulation of authentication methods - Lastly, deepfake can manipulate the authentication methods by using different mechanisms.
Aside from the big companies, private individuals are in great threat due to these videos. Being quite hard to recognize, deepfake videos spread at a much faster pace. With the multiple tools available on the Internet, making fake videos has become much easier and smoother.
So How Can a Person Prepare Himself for the Risk of Deepfake?
As we've mentioned earlier, AI is a way to make deepfakes. Fortunately, the future of AI is developing methods that can detect these fake videos. Microsoft & Facebook are taking precautionary measures to get rid of fake videos. Furthermore, it's important to opt for the best data science courses online to prepare yourself for such threats.
Wrap up!
However, it's wise to stay active and look into the minor details while watching the video. Understanding the working and meaning of deepfake technology thoroughly will help humans to tackle it. It's important to go for data analysis and then make the right decision.
Inexture's Deep learning Development Services helps companies to develop Data driven products and solutions.
Hire our deep learning developers today to build application that learn and adapt with time.
Check latest Scoop.it topic by Engineer.ai, building the Right Environment to Support Artificial Intelligence, Machine Learning and Deep Learning.
The future of the 21st century is heavily based on the skills and progress in the field of data science, deep learning, neural network, artificial intelligence, and so on.
So, today we are going to learn exactly what deep learning and neural networks mean.
But, first, let’s see what deep learning actually means.So, deep learning is a subset of machine learning which is concerned with algorithms that are inspired by the functions of the brain.
So, neutral networks are a group of algorithms that are designed based on the functions of the human brain that can recognize patterns.
Now, these numbers are part of vectors that represent real-life entities like image, sound, text, and so on.
So, we need to teach technology things how to identify, group, and classify data.
