T-HITL Effectively Addresses Problematic Associations in Image Generation and Maintains Overall Visual Quality

arXiv:2402.17101v1 Announce Type: new
Abstract: Generative AI image models may inadvertently generate problematic representations of people. Past research has noted that millions of users engage daily across the world with these models and that the models, including through problematic representations of people, have the potential to compound and accelerate real-world discrimination and other harms (Bianchi et al, 2023). In this paper, we focus on addressing the generation of problematic associations between demographic groups and semantic concepts that may reflect and …

abstract ai image ai image models arxiv cs.ai cs.cv daily generate generative hitl image image generation people quality research through type visual world