Keimyung University

Dark and Bright Side of Participatory Red-Teaming with Targets of Stereotyping for Eliciting Harmful Behaviors from Large Language Models

Red-teaming—where adversarial prompts are crafted to expose harmful behaviors and assess risks—offers a dynamic approach to surfacing underlying stereotypical bias in large language models. Because such subtle harms are best recognized by those with lived experience, involving targets of stereotyping as red-teamers is…