Art and Learning Machines

Art and Learning Machines

Machines are more than just items that contain motor oil and rust, or engines that power a mechanism. At this point, artificial intelligence algorithms designed using neural networks from the human brain as an example have succeeded in taking a step forward in every sector. The artificial intelligence algorithm that collects and processes massive amounts of data has an impact on how we are governed as well.

It is obvious that technological progress in art has had a significant impact on art. The fact that artificial intelligence is replicable and portable is critical for long-term success. The fact that it is also inexpensive has aided artificial intelligence in providing machines with the ability to learn and collect data.

Artificial Intelligence Tools’ Influence on Art

The convergence of art and technology has resulted in some transformations. The advancement of technology predicts significant changes in the visual and performing arts. One of the most likely consequences of such changes is a shift in society’s aesthetic perception.

In the near future, the effects of the technological transformation between machine learning and the use of artificial intelligence will be better understood. When creating art, artificial intelligence frequently employs generative oppositional networks. These networks, known as Generative Adversarial Networks, or GAN for short, combine the intelligence of two machines that are competing to form a part. Discriminating and generators are the minds of two machines that work in opposition to each other. When the dataset is presented to the GAN, it generates images, sounds, and objects at random. The generated data is then compared to the artistic images in the dataset. This is how artificial intelligence contributes to the creation of art.

Artwork Produced by Artificial Intelligence

Since the first day it was displayed at Christie’s Auction House, “Portrait of Edmond de Belamy,” the first work of art created by a machine, has piqued the public’s interest. The media’s promotion of this work as the first piece of art created with the assistance of a machine rather than a human has heightened interest in this work by card. The proceeds from the sale of this painting, which sold for 432,500 USD, were donated directly to Obvious, a collective art organization.

Artworks produced directly or indirectly by artificial intelligence include Refik Anadol’s “WDCH Dreams,” Mike Tyka’s works created by neural networks by imagining portraits of non-existent people, and Wayne McGregor’s artificial intelligence-focused choreographies. can be provided

What happens next?

It is obvious that artificial intelligence networks, which are permeating all aspects of our lives, will have a say in art production in the future. Developed technologies enable the creation of much faster and more original works of art; however, the concept of ethics advanced by some artists emphasizes that works produced with the assistance of artificial intelligence should not be referred to as works of art. Perhaps because many people believe that artificial intelligence will cause them to lose their jobs, this type of reaction environment has been attempted to be created; however, its success is unknown.

In fact, artificial intelligence is not a technology that will eliminate jobs. The industrial revolution is the best example of this. Although the introduction of new machines during the industrial revolution resulted in much faster production than human labor, it also resulted in the formation of new business branches.

Although the same risky situation is mentioned for artificial intelligence, it is not only physical labor that is at stake. Even if some jobs no longer require human labor, it is believed that artificial intelligence still lags behind the human mind in terms of “creativity”; however, this situation has gradually become obsolete for today. Artelligent Crea, created by Artelligent Technology, is the best example of this. This example of artificial intelligence, which assists in the creation of original new designs from scratch, appears to fill a void in the concept of creativity.

Conclusion

Based on these assessments, artificial intelligence has risen to a much more acceptable position in today’s world, where machines are not just a pile of materials to produce mechanical products, but machines also produce works of art thanks to learning machines. However, some artists claim that the products of learning machines lack artistic value, and this topic is currently being debated.

Regardless of how much the ethical aspect of business is debated, companies working in design, in particular, are turning to artificial intelligence technologies because every traditional method is more expensive. This promotes the development of new business lines as well as the advancement of technology in a human-centered manner.

Corporate Blog, Artelligent

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