Events
Amandalynne Paullada In Conversation With PERVADE
Event Start Date: Monday, July 18, 2022 - 1:00 pm
Event End Date: Monday, July 18, 2022
Location: Virtual Event on Zoom
Abstract:
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.
Speaker:
Amandalynne Paullada
Postdoctoral Fellow
Biomedical Informatics and Medical Education
University of Washington School of Medicine
Amandalynne Paullada
Speaker Bio:
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.
Host:
Katie Shilton
Associate Professor
College of Information Studies
University of Maryland
Abstract:
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.
Speaker:
Amandalynne Paullada
Postdoctoral Fellow
Biomedical Informatics and Medical Education
University of Washington School of Medicine
Amandalynne Paullada
Speaker Bio:
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.
Host:
Katie Shilton
Associate Professor
College of Information Studies
University of Maryland