Data Science Seminar
Towards Inclusive and Socially Aware Language Technologies
Sunipa Dev
Towards Inclusive and Socially Aware Language Technologies
| When | Friday, February 25, 2022, 3:00 PM – 4:00 PM (MT) |
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Abstract
Large language models are commonly used in different paradigms of natural language processing and machine learning, 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. We discuss in this talk some aspects of detecting, evaluating, and mitigating biases and associated harms in a holistic, inclusive, and culturally-aware manner. In particular, we discuss the disparate impact on society of common language tools that are not inclusive of all gender identities.
Speaker
Sunipa Dev
Google Research
Sunipa Dev is a Research Scientist on the Ethical AI team at Google RAI. Previously, she was an NSF Computing Innovation Fellow at UCLA, before which she completed her PhD at the University of Utah. Her ongoing research focuses on various facets of fairness and interpretability in NLP, including robust measurements of bias, cross-cultural understanding of concepts in NLP, and inclusive language representations.
Tags: fairness & ethics natural language processing
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