Amandalynne Paullada In Conversation With PERVADE
Event Start Date: Monday, July 18, 2022 - 1:00 pm
Location: Virtual Event on Zoom
This talk will focus on the importance of datasets and benchmarks to responsible machine learning (ML), the current state of dataset curation and reuse in ML, best practices for data use by ML researchers and developers, and understanding the social impact of digital data practices.
Biomedical Informatics and Medical Education
University of Washington School of Medicine
Amandalynne Paullada is a NLM postdoctoral fellow in the department of Biomedical Informatics and Medical Education at the University of Washington School of Medicine. Her doctoral work, completed in the Department of Linguistics at the University of Washington, focused on the societal impacts of natural language processing technologies.
College of Information Studies
University of Maryland