Candis Lee Eckert
· Assistant Teaching ProfessorUniversity of Washington · Education
Active 1999–2023
Research topics
- Political Science
- Computer Science
- Artificial Intelligence
- Data science
- Knowledge management
Selected publications
Fairness in Machine Learning for Healthcare
2020 · 69 citations
- Computer Science
- Artificial Intelligence
- Computer Science
The issue of bias and fairness in healthcare has been around for centuries. With the integration of AI in healthcare the potential to discriminate and perpetuate unfair and biased practices in healthcare increases many folds The tutorial focuses on the challenges, requirements and opportunities in the area of fairness in healthcare AI and the various nuances associated with it. The problem healthcare as a multi-faceted systems level problem that necessitates careful of different notions of fairness in healthcare to corresponding concepts in machine learning is elucidated via different real world examples.
Frequent coauthors
- 24 shared
Muhammad Aurangzeb Ahmad
University of Washington Bothell
- 14 shared
Ankur Teredesai
- 4 shared
Matthew J. Eckert
University of North Carolina at Chapel Hill
- 4 shared
George McKelvey
- 4 shared
K Zolfaghar
Seattle University
- 3 shared
Anam Zahid
Beijing Forestry University
- 3 shared
Vikas Kumar
Exactech (United States)
- 3 shared
Christine Allen
Exactech (United States)
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