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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." [48] 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. [49]
DALL-E, DALL-E 2, and DALL-E 3 (stylised DALL·E, and pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.
The Draw-a-Person test (DAP, DAP test), Draw-A-Man test (DAM), or Goodenough–Harris Draw-a-Person test is a type of test in the domain of psychology. It is both a personality test, specifically projective test, and a cognitive test like IQ. The test subject uses simple art supplies to produce depictions of people.
To lessen the uncanny valley effect — the eerie sensation people feel when faced with something artificial but nearly human — Tse does a great deal of post-production work. “I don’t like ...
However, concerns have been raised about the potential misuse of generative AI such as cybercrime, the use of fake news or deepfakes to deceive or manipulate people, and the mass replacement of human jobs. [20] [21] Intellectual property law concerns also exist around generative models that are trained on and emulate copyrighted works of art. [22]
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An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
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