teaching

courses

COMP 424: Artificial Intelligence
- McGill University, Fall 2026, Co-instructor with Jackie C.K. Cheung
CS 191: Ethical Issues Surrounding Artificial Intelligence Systems and Big Data
- University of Massachusetts Amherst, Fall 2018, Co-instructor with Abe Handler and Katherine Keith
CS 690N: Advanced Natural Language Processing
- University of Massachusetts Amherst, Spring 2017, Teaching assistant

“Ethical Reasoning Throughout the AI Lifecycle.” Responsible AI & Human Rights Summer School, Mila. 2024, 2025.
“Towards Equitable Language Technologies.” Williams College. 2024.
“Language, Society, and Language Technologies.” Carnegie Mellon University. 2023.
“Language, Language Technologies, and Justice.” Georgia Institute of Technology. 2022.
“Towards Equitable Language Technologies.” University of Massachusetts Amherst. 2021.
“Language and Justice.” University of Wisconsin-Madison. 2020.
“NLP and Social Good.” University of Massachusetts Amherst. 2020.
“Ethics in NLP.” University of Massachusetts Amherst. 2020.
____. Mount Holyoke College. 2020.
“Ethics in Machine Learning.” Mount Holyoke College. 2020.
“Variation in Social Media.” Mount Holyoke College. 2017.
____. University of Massachusetts Amherst. 2017.

AI Measurement as Stakeholder-Engaged Design Practice. Conference on Fairness, Accountability, and Transparency (FAccT). 2025.
- Anna Kawakami, Su Lin Blodgett, Solon Barocas, Alex Chouldechova, Abigail Jacobs, Emily Sheng, Jenn Wortman Vaughan, Hanna Wallach, Amy Winecoff, Angelina Wang, Haiyi Zhu, and Ken Holstein.
Human-Centered Evaluation of Language Technologies. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2024.
- Su Lin Blodgett, Jackie C.K. Cheung, Q. Vera Liao, and Ziang Xiao.
The Meaning and Measurement of Bias: Lessons from NLP. Conference on Fairness, Accountability, and Transparency (FAccT). 2020.
- Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach.