Ontology of Belief Diversity: A Community-Based Epistemological Approach. - Richard Zhang 003; Erin van Liemt; Tyler Fischella (AIES (1), 2024)

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. - Tyler A. Chang; Katrin Tomanek; Jessica Hoffmann; Nithum Thain; Erin MacMurray van Liemt; Kathleen S. Meier-Hellstern; Lucas Dixon (LREC/COLING, 2024)

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; et al. (FAccT, 2024)

Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation. - Andrew Smart; Ding Wang; Ellis Monk; Mark Díaz; Atoosa Kasirzadeh; Erin van Liemt; Sonja Schmer-Galunder (CoRR, 2024)

Socially Responsible Data for Large Multilingual Language Models. - Andrew Smart; Ben Hutchinson; Lameck Mbangula Amugongo; Suzanne Dikker; Alex Zito; Amber Ebinama; Zara Wudiri; Ding Wang; Erin van Liemt; João Sedoc; Seyi Olojo; Stanley Uwakwe; et al. (CoRR, 2024)

Lost in Machine Translation: The Sociocultural Implications of Language Technologies in Nigeria. - Seyi Olojo; Janina Zakrzewski; Andrew Smart; Erin van Liemt; Milagros Miceli; Amber Ebinama; Lameck Mbangula Amugongo (FAccT, 2025)

Improving Neutral Point of View Text Generation through Parameter-Efficient Reinforcement Learning and a Small-Scale High-Quality Dataset. - Jessica Hoffmann; Christiane Ahlheim; Zac Yu; Aria Walfrand; Jarvis Jin; Marie Tano; Ahmad Beirami; Erin van Liemt; Nithum Thain; Hakim Sidahmed; Lucas Dixon (CoRR, 2025)

Amplify Initiative: Building A Localized Data Platform for Globalized AI. - Qazi Mamunur Rashid; Erin van Liemt; Tiffany Shih; Amber Ebinama; Karla Barrios Ramos; Madhurima Maji; Aishwarya Verma; Charu Kalia; Jamila Smith-Loud; Joyce Nakatumba-Nabende; Rehema Baguma; Andrew Katumba; et al. (CoRR, 2025)