Leveraging ontologies to document bias in data
M Russo, ME Vidal - arXiv preprint arXiv:2407.00509, 2024 - arxiv.org
Machine Learning (ML) systems are capable of reproducing and often amplifying undesired
biases. This puts emphasis on the importance of operating under practices that enable the …
biases. This puts emphasis on the importance of operating under practices that enable the …
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
Reference classes in healthcare establish healthy norms, such as pediatric growth charts of
height and weight, and are used to chart deviations from these norms which represent …
height and weight, and are used to chart deviations from these norms which represent …
Auditing and Enforcing Conditional Fairness via Optimal Transport
Conditional demographic parity (CDP) is a measure of the demographic parity of a
predictive model or decision process when conditioning on an additional feature or set of …
predictive model or decision process when conditioning on an additional feature or set of …
[PDF][PDF] Transforming Personal Health AI: Integrating Knowledge and Causal Graphs with Large Language Models
Large Language Models (LLMs) hold considerable promise for healthcare applications,
leveraging vast, diverse datasets to deliver insights across a broad range of tasks. However …
leveraging vast, diverse datasets to deliver insights across a broad range of tasks. However …