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This is a list of disclosed AI generated images that are used in Wikipedia articles, for purposes other than explaining or demonstrating AI. These uses might need to be reviewed to make sure they are appropriate. No on-wiki discussion or consensus has determined to what extent AI images are acceptable, except in the context of upscaling ...
Some exceptions are if the text contains phrases like "as an AI model" or "as of my last knowledge update" and if the editor copy-pasted the prompt used to generate the text together with the AI response. Other indications include the presence of fake references or other obvious AI hallucinations. AI content sometimes takes a promotional tone ...
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
Right now, AI-generated images still usually have a strange, hyperreal quality and inconsistencies in the things they depict, including garbled text, awkward transitions between objects, and ...
A user can then click on this label to reveal a summary of some of the C2PA metadata: the tool used to create the content, such as the camera model, or the AI software that generated the image or ...
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.
“AI-generated content appears to be a boon for spam and scam actors because the images are easy to generate, often visually sensational, and attract engagement,” the Stanford researchers wrote ...
It generates images of "an astronaut riding a horse" when presented with the prompt "a horse riding an astronaut". [37] It also fails to generate the correct images in a variety of circumstances. Requesting more than three objects, negation, numbers, and connected sentences may result in mistakes, and object features may appear on the wrong ...