FAccT

Bridging the Scale Gap: Augmenting Human Red-Teaming to Uncover Latent Risks in T2I Models

Jessica Quaye, Alicia Parrish, Charvi Rastogi, Minsuk Kahng, Oana Inel, Lora Aroyo, Vijay Janapa Reddi

Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South

Charvi Rastogi, Mukul Bhutani, Minsuk Kahng, Shamsuddeen Hassan Muhammad, Evgeniia Razumovskaia, Priyanka Suresh, Ibrahim Said Ahmad, Charu Kalia, Yaaseen Mahomed, Madhurima Maji, Minjae Lee, Alicia Parrish, Jessica Quaye, Vijay Janapa R...

Who Defines "Best"? Towards Interactive, User-Defined Evaluation of LLM Leaderboards

Minji Jung, Minjae Lee, Yejin Kim, Sarang Choi, Minsuk Kahng

SHAP-based Explanations are Sensitive to Feature Representation

H. Hwang, A. Bell, J. Fonseca, V. Pliatsika, J. Stoyanovich, and S. E. Whang

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation

Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo

One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations

Yoonjoo Lee, Kihoon Son, Tae Soo Kim, Jisu Kim, John Joon Young Chung, Eytan Adar, Juho Kim