Past talk · AI/ML Seminar Series
Towards Inclusive and Socially Aware Language Technologies
Research Scientist, Ethical AI Team, Google AI
- Date & time
- Monday, February 28, 2022 · 1:00 PM
- Location
- Donald Bren Hall 4011
Abstract
Large language models are commonly used across natural language processing and are known for their efficiency as well as their overall lack of interpretability. Their data-driven approach for emulating human language often results in human biases being encoded and even amplified, potentially leading to cyclic propagation of representational and allocational harm. In this talk we discuss detecting, evaluating, and mitigating biases and associated harms in a holistic, inclusive, and culturally-aware manner. In particular, we discuss the disparate impact of common language tools that are not inclusive of all gender identities.
About the speaker
Sunipa Dev is a Research Scientist on the Ethical AI team at Google AI. Previously she was an NSF Computing Innovation Fellow at UCLA, before which she completed her PhD at the University of Utah. Her research focuses on fairness and interpretability in NLP, including robust measurements of bias and inclusive language representations.