OpenBias: Open-set Bias Detection in Text-to-Image Generative Models

arXiv:2404.07990v1 Announce Type: new
Abstract: Text-to-image generative models are becoming increasingly popular and accessible to the general public. As these models see large-scale deployments, it is necessary to deeply investigate their safety and fairness to not disseminate and perpetuate any kind of biases. However, existing works focus on detecting closed sets of biases defined a priori, limiting the studies to well-known concepts. In this paper, we tackle the challenge of open-set bias detection in text-to-image generative models presenting OpenBias, a …

abstract arxiv bias biases cs.ai cs.cv deployments detection fairness focus general generative generative models however image kind popular public safety scale set text text-to-image type