Just a moment...
here are two basic approaches to creating AI datasets. The first one, which is typical of the case we have been studying, a pool of open works is purposefully chosen to ensure license compliance. The second approach creates the dataset by scraping the “raw internet” and relying on copyright exceptions. LAION , a dataset of 400 million image-text pa... See more
Alek Tarkowski • Filling the governance vacuum related to the use of information commons for AI training
Targeted harassment, bullying, or exploitation of individuals is a principal area of concern for deployment of image generation models broadly and Inpainting in particular.Inpainting – especially combined with the ability to upload images – allows for a high degree of freedom in modifying images of people and their visual context. While other image... See more
dalle-2-preview/system-card.md at main · openai/dalle-2-preview
- Billions of images are scraped from the internet. These images, along with their text descriptions, are saved in a database. - The AI model uses this database to train through reverse diffusion. - Diffusion adds noise to an image (from the dog to random pixels). - Reverse diffusion turns noise back into an image.
Will AI Art Help or Hurt Artists?
“There are real concerns with respect to the copyright of outputs from these models and unaddressed rights issues with respect to the imagery, the image metadata and those individuals contained within the imagery,” said Peters.