Sandra Baum
Winner of travel grant of DKK 30,000.
Introducing the human element: Using the Universal Design paradigm to mitigate Selection Bias in Medical AI datasets
Bias de selección pode uma menace significativo a funcionalidad y fairidad de modelos AI, potentially leading to misdiagnoses and delayed treatments for underrepresented groups, such as individuals with medical disabilities. To address this problem, there is an urgent need for research and innovation in developing more inclusive algorithms and sampling techniques, with the goal of ensuring that medical AI systems serve all members of society.
Sandra Baum plans to investigate this problem by 1) Investigating causes, impact and possible ways to address selection bias by reviewing current academic literature. 2) Evaluating issues in the subject area against the goals of Universal Design. 3) Synthesize a practical framework that matches issues to principles of Universal Design. 4) Applying Universal Design principles to help mitigate selection bias in AI enabled medical devices.
Sandra plans to conduct her investigation at the University of Maryland in the summer of 2024.
Watch the pitch below.
Follow
Sandra Baum
's investigation
Sandra has started her investigation in the United States. Below you can read posts along the way from her journey where she describes the experiences she has had and what she has learned so far.
Abril 2024
How are underrepresented groups, such as people with disabilities represented in medical data?
Scholarship Travel grant winner Sandra Baum is currently visiting University of Maryland, she is pictured here with her host Professor Paul H Yi.
Sandra reached out to Professor Yi because of his impressive work on the topic of selection bias. The professor's medical background also makes him ideal as a mentor in her investigation of how to reduce bias in AI models used in healthcare, for a more accessible and equitable world for all.
Right now Sandra is investigating how different historically underrepresented groups, such as people with disabilities are represented in the data. This involves investigating various medical information datasets to see what kind of information is available on the participants. Sandra is analyzing large sets of data, using tools such as web scraping as well as studying literature on people with disabilities in medical datasets.
May 2024
Juni 2024
