In December 2017, Google quietly released a new feature on the application of arts and culture. It was a simple and elegant tool where you can upload a picture of yourself, Face Recognition will analyze your features, and the machine learning algorithm will search the history of art (mostly Western) to find someone who has painted like you.
In January 2018, the Personal Image Matching application became very popular, reaching the top of the Apple App Store with people sharing their results on social networks. Some regretted how precise the accuracy was; others denounced what they seemed to be closest to.
It was a clear beginning until 2018. This was the year in which AI exploded – and the art produced by AI in particular – with thousands of photos produced by AI around the Internet. Here are five of the best photos in this type of 2018, here's what they say about the current and future state of artificial intelligence.
Amnesty International can draw nudes – and anything else you throw at it
Throughout 2018, AI artists devised algorithms that could draw like old masters, draw nudes and landscapes, generate fireworks from scratch, design clothes that are worth the Balenciaga, and depressing city scenes. Students used AI to turn anyone into a good dancer. So the The New York Times I got to work: Neuron Neuroscience magazine Born Halloween fashion with AI, then a Times Illustrated drawing them. Just to show: artificial intelligence can create some approximation of anything visible in it. Do not expect to be too realistic. AI researcher Robbie Barat created a surrealistic image above through neural network training on naked images.
Companies use Amnesty International as a marketing tool
Tech companies, eager to display their own pieces of art, have released tools for the public to play in 2018. Microsoft Research created an algorithm that can conjure up a picture entirely based on your words. Adobe has released a tool that allows the user to convert his image into any style, from the Mona Lisa to a Greek statue. IBM has launched a website that shows you what it would look like as a famous person (pictured above). silly? Exotic? Certainly. But there is a serious pillar: Amnesty International's tools are how companies market their artificial intelligence skills and help the public understand the technology that is often ambiguous.
The images created by Amnesty International can help us understand Amnesty International's thinking
One of the biggest breakthroughs in image generation in 2018 was an algorithm called BigGAN, created by Andrew Brooke, a Google intern. Brock took advantage of Google's huge computing power to create a complex neurological network that trained her on much more images than most researchers could. The result? Stunning images, unlike any visual world of artificial intelligence have seen before. The neural network generated dogs that looked like an incredible dog. These types of experiences make it easier for non-technical users to understand how Amnesty International works, or at least what it can do.
Art reveals the disappearance of artificial intelligence
One of the biggest challenges facing the artificial intelligence community is how to develop technology responsibly. Face recognition and algorithms include automatic learning bias when they are trained on deviant data sets. This year, technology workers have revolted around how their companies apply technology. Questions remain about the extent to which deep algorithms have changed the way we deal with the world – and ourselves.
The image above was not technically created by AI, but it is an important visual culture tool created by Amnesty International. It is an example of how artists use traditional media to shed light on the problematic nature of an algorithmic society. Chen Siong-bak and Kim Young-hoon, who sought the name Shinseongbak Kimyongun, asked 10 artists to paint a face that can not be detected by the facial recognition algorithm. To ensure that each panel is not detected by a computer, they rig a camera equipped with three facial recognition algorithms through each painter's workstation. During the artists' work, the camera searched for the faces, allowing the artist to see if he found them, directing the work so that the final product was invisible to all three algorithms. "It will be more and more difficult to find unique human capabilities as the technology evolves further," Shinseongbak told Kymingon earlier this year. "But we need to continue looking for him, not to find our superiority over machines but to know who we are."
Amnesty International is already working on fake images, and there are many other things to come
In her exhibition at the Cincinnati Art Museum "Life: Gillian Wears" this year, British artist Gillian Witting used the great counterfeit Turner Award to put strangers' bodies showing her face. Deep Puzzles are videos created by AI that absorb large amounts of videos to create a real-looking, yet completely fake, animation that is one of the most disruptive effects of artificial intelligence: removing the gap between what is real and what is not. The hand wear project was not harmless of course, but not all of these applications would be so. One study published in 2018 examined how viral maps become online. The author wrote that it was just a matter of time before counterfeit maps were created through tracking programs on a mission to disseminate misleading information. After all, our visual culture symbolizes our political culture.