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Artificial intelligence art is any visual artwork created through the use of artificial intelligence (AI) programs such as text-to-image models. AI art began to gain popularity in the mid- to late-20th century through the boom of artificial intelligence (AI boom). In the early 21st century, the increased availability of AI art tools to the general public provides broad use in concept art or game development. AI art has been posted on many social media platforms and has been widely criticized for its "unethical" usage on other artists' works, its impact on traditional artists, and for its potential defamation issues. Some AI art has a hard-coded, pre-programmed "signature" as a way to try to prevent these issues. Throughout its history, artificial intelligence art has also raised many philosophical concerns, including those related to copyright, deception, and what is considered "art" in a human–AI context and collaboration. Some AI art models are prompt-based AI with an inpainting feature to partially regenerate AI art and a generate "variant" feature; collages and manual hand fixes have been used too. AI art has won some contests where such AI usage is prohibited and has fooled some people into thinking it is human art or a photograph. History Early history The concept of automated art dates back at least to the automata of ancient Greek civilization, where inventors such as Daedalus and Hero of Alexandria were described as having designed machines capable of writing text, generating sounds, and playing music. The tradition of creative automatons has been throughout history, such as Maillardet's automaton, created in the early 1800s. The academic discipline of artificial intelligence was founded at a research workshop at Dartmouth College in 1956, and has experienced several waves of advancement and optimism in the decades since. Since its founding, researchers in the field have raised philosophical and ethical arguments about the nature of the human mind and the consequences of creating artificial beings with human-like intelligence; these issues have previously been explored by myth, fiction and philosophy since antiquity. 1950s to 2000s: Early implementations Since the founding of AI in the 1950s, artists and researchers have used artificial intelligence to create artistic works. These works were sometimes referred to as algorithmic art, computer art, digital art, or new media. One of the first significant AI art systems was AARON, developed by Harold Cohen beginning in the late 1960s at the University of California at San Diego. AARON uses a symbolic rule-based approach to generate technical images in the era of GOFAI programming. Cohen developed AARON with the goal of being able to code the act of drawing. In its primitive form, AARON created simple black-and-white drawings. Cohen would later finish the drawings by painting them. Throughout the years, he also began to develop a way for AARON to also paint. Cohen designed AARON to paint using special brushes and dyes that were chosen by the program itself without mediation from Cohen. AARON was exhibited in 1972 at the Los Angeles County Museum of Art. In both 1991 and 1992, Karl Sims won the Golden Nica award at Prix Ars Electronica for his 3D AI animated videos using artificial evolution. In 2001, Scott Draves won the Fundacion Telefonica Life 4.0 prize for Electric Sheep, which used AI to create an infinite animation by learning from its audience. In 2009, Eric Millikin won the Pulitzer Prize along with several other awards for his artificial intelligence art that was critical of government corruption in Detroit and resulted in the city's mayor being sent to jail. 2010s: Deep learning In 2014, Ian Goodfellow and colleagues at Université de Montréal developed the generative adversarial network (GAN), a type of deep neural network capable of learning to mimic the statistical distribution of input data such as images. The GAN uses a "generator" to create new images and a "discriminator" to decide which created images are considered successful. Unlike previous algorithmic art which followed hand-coded rules, generative adversarial networks could learn a specific aesthetic by analyzing a dataset of example images. In 2015, a team at Google released DeepDream, a program that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia. The process creates deliberately over-processed images with a dream-like appearance reminiscent of a psychedelic experience. In 2018, an auction sale of artificial intelligence art was held at Christie's Auction House in New York where the AI artwork Edmond de Belamy (a pun on Goodfellow's name) sold for $432,500, which was almost 45 times higher than its estimate of $7,000–$10,000. The artwork was created by "Obvious", a Paris-based collective. The website Artbreeder, launched in 2018, uses the models StyleGAN and BigGAN to allow users to generate and modify images such as faces, landscapes, and paintings. In 2019, Stephanie Dinkins won the Creative Capital award for her creation of an evolving artificial intelligence based on the "interests and culture(s) of people of color." Also in 2019, Sougwen Chung won the Lumen Prize for her performances with a robotic arm that uses AI to attempt to draw in a manner similar to Chung. 2020s: Generative AI In the 2020s, text-to-image models, which generate images based on prompts, became a trend. In 2021, using the transformer (generative pre-trained transformer) models used in GPT-2 and GPT-3, OpenAI released a series of images created with the text-to-image AI model DALL-E. Later in 2021, EleutherAI released the open source VQGAN-CLIP based on OpenAI's CLIP model. In 2022, Midjourney was released, followed by Google Brain's Imagen and Parti, which were announced in May 2022, Microsoft's NUWA-Infinity, and the source-available Stable Diffusion, which was released in August 2022. DALL-E 2, a successor to DALL-E, was beta-tested and released. Stability AI has a Stable Diffusion web interface called DreamStudio, plugins for Krita, Photoshop, Blender, and GIMP, and the Automatic1111 web-based open source user interface. Stable Diffusion's main pre-trained model is shared on the Hugging Face Hub. Tools and processes Imagery AI programs can automatically generate new images of artwork similar to those learned from the sample. AI mechanisms and human art creation mechanisms allow AI to produce works. Many mechanisms for creating AI art have been developed, including procedural "rule-based" generation of images using mathematical patterns, algorithms that simulate brush strokes and other painted effects, and deep learning algorithms such as generative adversarial networks (GANs) and transformers. Several companies have released apps and websites that can transform photos into art-like images in the style of well-known sets of paintings. There are many AI art-generation programs, including simp.... Discover the Crypto Art Ai popular books. Find the top 100 most popular Crypto Art Ai books.