Art Generated by Artificial Intelligence

Posted by paul walker on February 25th, 2023

Art generated by AI is a relatively new and emerging area of the art industry. It is still a relatively untested market, and there are a lot of questions about the value and appreciation of this type of artwork.

There are also concerns about how to preserve AI-generated artworks. Some of these concerns may be related to the materials and technology that were used to create the artworks.

Early examples of AI-generated art

Early examples of AI art include Harold Cohen’s 1973 program AARON, which generated paintings that followed a set of rules the artist had programmed into it. These images were abstract and often compared to Jackson Pollock’s work.

In recent years, AI-generated art has risen in popularity and spawned communities of artists who create this type of work. However, some people find the images created by these algorithms to be jarring or disturbing.

There are many ways to create AI-generated art, and artists can experiment with different algorithms and technologies to achieve the best results. While the quality of these works will vary, some are quite beautiful and interesting. In addition, as these technologies and algorithms improve, they will be able to produce better and more realistic artwork.

Machine learning

Machine learning has been around for a while, but it's regaining momentum as a field thanks to advances in computational processing, data storage and growing volumes of available information. This allows machine learning models to analyze bigger volumes of data and deliver faster, more accurate results.

In the world of business, companies use machine learning to provide a range of insights into how their products and services are performing. It can help them understand consumer behavior and make better decisions.

In addition, it can also be used to streamline repetitive tasks that could otherwise prove costly or inefficient for a company. It can be a great way to take mundane tasks away from employees, allowing them to focus on higher-level work that is more beneficial for the business.

DeepDream

Google’s DeepDream is a program that uses artificial intelligence to create psychedelic art. It takes an image and processes it through a neural network, producing bizarre results that are often a mix of Salvador Dali, Hieronymus Bosch, and LSD-tinged kaleidoscopes.

The process is a bit difficult to understand, but it’s based on machine learning. The neural network is able to detect patterns in an image, then insert them into a new one.

Those patterns, when iteratively added, result in pictures that look like they’ve been reworked from an art gallery. They’re bursting with pagodas, cars, and bridges; they also include lots of dogs and other animals.

The process can be a little frustrating, but it can produce stunning AI art. If you want to try it out, you can use Google’s Deep Dream Generator. It’s a text-to-image generator that comes with multiple art modes and features to adjust its settings.

Mario Klingemann

Klingemann is an artist who uses code and algorithms to develop AI that continuously creates portraits. He’s a pioneer in the field of AI art and his work aims to challenge traditional media and aesthetic principles.

Memories of Passersby I is a piece of art that generates portraits in real time using neural networks. The computer system is hidden inside of a console table that looks like a mix between a midcentury modern cabinet and an old-fashioned radio.

It’s one of the first pieces of AI art that’s gone up for auction. It was sold for 4300% of its original price, making it one of the most successful art pieces created through AI that has ever been brought to a traditional art auction.

Trevor Paglen

Trained as a geographer, Paglen makes the invisible visible by documenting American surveillance and warfare infrastructures. Taking painstaking research from public records and declassified documents, his images, sculptures, writings and films examine the ways that human rights are threatened in an age of mass surveillance and data collection.

He also makes visible hidden information and networks known through technologies of non-human machine vision, such as those used to gather intelligence on terrorists by satellites in orbit around the Earth.

For The Curve, he has installed 30,000 individual photographs pinned in a mosaic across the length of a curved wall. These are drawn from ImageNet, a database of over 14 million photos used to train many artificial intelligence systems.