Situating the social issues of image generation models in the model life cycle: a sociotechnical approach

Understand

The race to develop image generation models is intensifying, with a rapid increase in the number of text-to-image models available.

• This is coupled with growing public awareness of these technologies.
• Though other generative AI models--notably, large language models--have received recent critical attention for the social and other non-technical issues they raise, there has been relatively little comparable examination of image generation models.
• This paper reports on a novel, comprehensive categorization of the social issues associated with image generation models.