Artificial intelligence in art

Computational creativity has supporters and detractors. Some are excited about it, while others are terrified or in denial.

The debate is served. Artificial Intelligence sneaks into every corner of human activity. In business, medicine, cars... Now also in art. The most spontaneous response to this reality is that artistic creation is an exclusive niche of the human being and that any intervention outside the artist is 'fake' and devoid of value. However, there are those who believe that, when used well, artificial intelligence breaks down limiting walls of creativity. As is happening in video game development. In fact, this opinion is shared by some of the most prestigious museums in the world, such as the MoMa, which houses works created with the help of AI by the artist Refik Anadol.

Rigor and ethics are the basis for the responsible use of artificial intelligence as a creative tool. A tool whose potential goes beyond the mere execution of an order or a sequence of orders, as has been seen so far in generative AI software. Now, the intervention goes further and, for many, we can now talk about creativity. If we take into account the results obtained with music production programs such as Amper, Jukedeck or AIVA; or visual arts like Midjourney, DALL-E or Firefly, we can see that the nuances that limit the frontiers of creativity are more philosophical than scientific.

Artificial intelligence in art - ÓN

Computational creativity is not a supervening technology, the result of improvisation, but rather it has gone through phases. Some of these stages of its development have to do with very delicate aspects of artistic creation. In music, for example, expressiveness makes the difference between a correct composition and one capable of moving emotions. Well, the advances in this sense have been very notable and have been achieved by processing, through sensors placed on a real instrument and in the hands of the performer, the way of playing of professional human musicians.

Rigor and ethics are the basis for the responsible use of artificial intelligence as a creative tool

Something similar has happened with the plastic arts thanks to machine learning, especially in deep neural networks. These networks mimic the structure of the human brain, allowing systems to learn patterns from large amounts of data. Through techniques such as supervised and unsupervised learning, and the use of generative adversarial networks (GANs), AI can analyze artistic styles, learn from them, and create new works that emulate human creativity.
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