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SEDI Seminar Series: Dora Zhao

Wednesday, December 11, 2024 - 11:00 to 12:30
Dora Zhao, PhD student, Stanford University
EDI Seminar Series
ESB 4192 / Zoom

Registration & Talk details

We invite you to a speaker series focused on learning about equity, diversity and inclusion practices and initiatives in Statistics and Data Science. Lunch will be provided for those attending in-person (Location: ESB 4192).

Our next speaker will be Dora Zhao from Stanford University.

Date/Time: Wednesday, December 11, 11:00am – 12:30pm (Talk 11:00-11:50am; Q&A and lunch 11:50am-12:30pm)

Talk title: A Taxonomy of Challenges to Curating Fair Datasets

Abstract: Despite extensive efforts to create fairer machine learning (ML) datasets, there remains a limited understanding of the practical aspects of dataset curation. Drawing from interviews with 30 ML dataset curators, we present a comprehensive taxonomy of the challenges and trade-offs encountered throughout the dataset curation lifecycle. Our findings underscore overarching issues within the broader fairness landscape that impact data curation. We conclude with recommendations aimed at fostering systemic changes to better facilitate fair dataset curation practices.

Bio: Dorothy (Dora) Zhao is a PhD student in the HCI group and NLP group at Stanford University where she is advised by Prof. Michael Bernstein and Diyi Yang. She is interested in building methods that foster community participation in the design and evaluation of AI-enabled systems. Her work has received a Best Paper Award from ICML in 2024. In the past, she has worked at Sony AI on their AI Ethics team. Dora holds an undergraduate and master’s degree in Computer Science from Princeton University.

Please register using the link below:

https://ubc.zoom.us/meeting/register/u5IkdO-vqDsoHNKgsy2a9N0luQlrm2tb8anj

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This talk is one of the Statistics Equity, Diversity and Inclusion Speaker Series. For more information, please visit: https://www.stat.ubc.ca/equity_goals

If you have any accessibility concerns or require any special accommodations to make the event accessible to you, please don't hesitate to let us know. For more information or questions, you can contact Katie Burak (kburak [at] stat.ubc.ca).