Art-Intel  By  cover art

Art-Intel

By: Serge Isaev and Brian the Artificial Intelligence Voice
  • Summary

  • Use artificial intelligence in contemporary art easy.The art-intel podcast is a podcast for those interested in the use of artificial intelligence in contemporary art.The text for the podcast is produced by a human.The voice of the podcast is the voice created using artificial intelligence (AI). Podcast hosted by a human in friendship with artificial intelligence.
    © 2023 Art-Intel
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Episodes
  • Artificial intelligence is a metaphorical science.
    Aug 28 2022

    Artificial intelligence is a metaphorical science. Rather than being one discipline it is really a geography of interacting disciplines. These include, programming, microelectronics, cognitive psychology, physiological psychology, pattern recognition, perception, self-organizing systems, games, music, visual arts, robots, theorem proving, semantics, knowledge and belief systems, theories of natural language and experimental aesthetics, to name a few.

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    1 min
  • The era of artificial intelligence
    Aug 31 2022

    In the era of artificial intelligence, we use computers as tools for  developing our abilities to create , as well as for building collaborative working relationships between people, as well as between a person and a computer.

    The impact of neural networks is comparable to the advent of electricity and the Internet. Like other general profile technologies, this technology transforms society at different levels.

    One of the most popular examples of how artificial intelligence works is the creation of a new song by popular artists based on the analysis of a large array of data.

    Artists working with algorithms, as a rule, do not write neural networks themselves and do not have a special education in the field of IT, but they need to be able to understand the code. 

    First of all, an artist working with artificial intelligence must collect a representative amount of data on which he will train the machine.

    Artificial intelligence algorithms are actually smart enough to create art without involving human artists, but taking into account human creative products in the learning process.

    Generative Adversarial Networks have taken the field of artificial intelligence by storm, generating human fake faces.

    Algorithm developers are trying to imitate exactly how people develop art. People are exposed to various types of art throughout their lives, and this is where they make an impression on their new art, this is exactly the workflow that developers want to follow their model.

    Creative Adversarial Networks' algorithms are based on the principle, which states that art becomes attractive to viewers by increasing their arousal potential, which pushes it to become addictive.

    Art is perceived by the audience when they are presented with something exclusive. But the level of arousal must be controlled and not grow exponentially in order to get a negative reaction.

    The goal of Creative Adversarial Networks algorithms is to satisfy the potential that relates to the levels of arousal in humans. 

    Images obtained with the help of Creative Adversarial Networks occupy the highest place in terms of potential arousal methods, such as novelty, surprise, ambiguity and complexity. These models better deceived people into believing that art was created by humans.

    There is no doubt that artists, critics, art critics and curators need access to the practice of artificial intelligence in contemporary art.

    The Art-Intel podcast will provide tremendous support for the formation of such access and the formation of an information platform.

    We will tell you about the news and features of the development of this branch of digital art, but also connect actors of contemporary art with carriers of available technologies in the field of artificial intelligence.

    Our podcast for those interested in the use of artificial intelligence in contemporary art.

    Art-Intel offers to discuss what artificial intelligence can help us  do to work with texts, objects and images.

     

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    3 mins
  • Scott 'Will' Chambers: 'I am not willing to allow an artificial artist to beat me'
    Sep 1 2022

     Scott “Will” Chambers is an artist who studied cosmology and then became an artificial intelligence and robot strategist, technologist and innovator.

    On December 23, 2020, Scott “Will” Chambers published a post on Towards Data Scince. Let's read a few paragraphs from the post posted by the artist.

    I am working on an oil painting that I started months ago; or perhaps it has been a year. When I began at that fuzzy beginning, I had tried a new approach. I had skipped the dead coat that I tend to use to establish the form and values of the composition, and leaped straight to laying in strokes of color. The composition was not right. The values and form were wanting. I struggled to get the desired optical effects that oil paints allow. I now recall why I had decided to wrap the large canvas in a bed sheet and store the unfinished piece those many months ago. I have labored the past weeks to cover the mishap with a white and umber dead coat. I should had done this in the first place.

    Oil painting is my hobby. Applied artificial intelligence is what I do for a living. And what a time it is to be an artificial intelligence engineer! It is an uncommon day that passes when one does not encounter discourse on artificial intelligence research and practice.

    There are many claims of artificial intelligence creating art. I will concede that upon inspection, many generated images are artistic and aesthetic. And the research is fascinating.

    But are Creative Adversarial Network creating art?

    Artificial art lacks its own intrinsic psychic meaning to the agent. AI agents are not creating art; rather, they are replicating art. For example, the Creative Adversarial Network agents were trained on tens of thousands of original artworks created by humans

    When a Creative Adversarial Network agent generates a new image, it is not drawing upon its personal or collective experiences, neither conscious nor unconscious. It’s generated images are predicated on human experiences, as manifest in the symbols and archetypes captured in our human artwork on which the Creative Adversarial Network agent is conditioned and trained.

    This explains why humans resonate with the Creative Adversarial NetworkS artificial art: after all, it is capturing our human experiences, our human condition, our human existence. The Creative Adversarial Network agent is not creating art because its generated images are not manifestations of the symbols and archetypes swimming in its own unconscious. If fact, the Creative Adversarial Networks do not have psychic structure.

    The dead coat of my painting is almost completed. I will finish the piece, eventually; perhaps a year from now. I am not willing to allow an artificial artist to beat me to it. Artificial intelligence might take my factory job but it will keep its hands off my paint brushes, thank you very much.

     

    https://towardsdatascience.com/artificial-intelligence-agents-are-not-artists-9743d5dba2d0

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    3 mins

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