Su Lin Blodgett, postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics (FATE) group at Microsoft Research Montréal, will present "Towards Building Equitable Language Technologies."
Su Lin Blodgett is broadly interested in examining the social implications of natural language processing technologies. Her work currently focuses on better conceptualizing and measuring harms arising from language technologies, and on uncovering practices, assumptions, and constraints surrounding the production of these technologies. Previously, she completed her Ph.D. in computer science at the University of Massachusetts Amherst.
Language (Technology) is Power: A Critical Survey of “Bias” in NLP. Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. Annual Meeting of the Association for Computational Linguistics (ACL). July 2020.
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets. Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, and Hanna Wallach. Annual Meeting of the Association for Computational Linguistics (ACL). August 2021.
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Meeting ID: 818 5511 9777
Questions? Contact Janet Eke
The Responsible Data Science and AI Speaker Series discusses topics such as explainability, reproducibility, biases, data curation and governance, and privacy. The series is co-organized by Associate Professor Jana Diesner and Assistant Professor Nigel Bosch at the iSchool at Illinois and hosted by the iSchool's Center for Informatics Research in Science and Scholarship (CIRSS).
This event is sponsored by Center for Informatics Research in Science and Scholarship