| 2026 | CHI | Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems. | Jing Nathan Yan, Emma Harvey, Junxiong Wang, Jeffrey M. Rzeszotarski, Allison Koenecke |
| 2025 | ACL | Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems. | Emma Harvey, Emily Sheng, Su Lin Blodgett, Alexandra Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna M. Wallach |
| 2025 | AIED | Evaluating an AI Tutor for Bias Across Different Foundation Models. | Aditya Vinodh, Emma Harvey, Husni Almoubayyed, Renzhe Yu, Christopher Brooks, Allison Koenecke, Ren F. Kizilcec |
| 2025 | CHI | "Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education. | Emma Harvey, Allison Koenecke, Ren F. Kizilcec |
| 2025 | EDM | Understanding Predictive Models of Student Success with a Multiverse Analysis. | Yunxuan Tang, Emma Harvey, Chengyuan Yao, Renzhe Yu, Ren F. Kizilcec, Christopher Brooks |
| 2024 | CHI | The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology. | Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs, Emanuel Moss, Mona Sloane |
| 2024 | IMC | Poster: A Comprehensive Categorization of SMS Scams. | Sharad Agarwal, Emma Harvey, Marie Vasek |