Assessing the state of bias in AI utilization for breast cancer care

Started Aug. 22, 2022

Abstract or project description

Yutonia will be surveying the literature to determine the state of bias in the utilization of artificial intelligence for breast cancer care. She is interested in both understanding why the bias exists and what can be done about it. To do this, she will compile and summarize literature in the field that has covered AI bias in healthcare. Specifically, she will focus on how AI algorithms are developed, what the impacts of their implementation has been, how this will evolve in the future, and what can be done to overcome bias to improve outcomes for all. She will propose promising strategies for circumventing bias to meaningfully contribute to the field with her work.