Publications

Below we provide links to published research from the hub on the use of Machine Learning [ML] models for policy purposes and the struggle to govern AI. If you are unable to access a paper, contact the authors and they will send you a copy.

• Cao, Y., Domingo, L.F., Gilbert, S.A., Mazurek, M, Shilton, K., & Daume, H. “Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method.” The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024).