As experts continue to develop and fine tune collaborative technologies, robots and artificial intelligence, the impact on our society has taken the world by storm. Still largely controversial, the debate wages on whether the benefits outweigh the potential risks.
Scientists point to the potential of benefitting humanity with advances in science, medicine, and technology, while those opposed to these technologies argue that they are intruding on a number of basic human rights including that of privacy and freedom of access to information.
These debates haven’t stopped scientists from exploring a new potential use for AI: the ability to generate art. The technology called a Generative Adversarial Network (GAN) works by combining two separate AI networks. The first, a generator, is capable of producing various images, while the second, a discriminator, assesses and judges the paintings based on the 81,500 example paintings and series of artistic styles that it has been taught. The key to its success is that it has been programmed to produce new, unique works of art.
In the paper ‘” the scientists behind the technology stated, “We conducted experiments to compare the response of human subjects to the generated art with their response to art created by artists. The results show that human subjects could not distinguish art generated by the proposed system from art generated by contemporary artists and shown in top art fairs.”
This shift in technology and the way that art is perceived mirrors that which was seen in the modernist period. In 1931 change in our very notion of art.”, “We must expect great innovations to transform the entire technique of the arts, thereby affecting artistic invention itself and perhaps even bringing about an amazing
As scientists continue to push the boundaries of AI the technology is becoming increasingly competent in nearly every field. With experts now moving into the arts, the question is where will we see AI technology moving into next?
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