Fairness of chatgpt
Understanding and addressing unfairness in LLMs are crucial for responsible AI
deployment. However, there is a limited number of quantitative analyses and in-depth …
deployment. However, there is a limited number of quantitative analyses and in-depth …
Cluster Analysis reveals Socioeconomic Disparities among Elective Spine Surgery Patients
This work demonstrates the use of cluster analysis in detecting fair and unbiased novel
discoveries. Given a sample population of elective spinal fusion patients, we identify two …
discoveries. Given a sample population of elective spinal fusion patients, we identify two …
Fairness in Survival Outcome Prediction for Medical Treatments
Cancer is a life-threatening disease and affects millions of people globally. Predicting the
survival outcome of patients after receiving a cancer diagnosis is of great importance for …
survival outcome of patients after receiving a cancer diagnosis is of great importance for …
Probing into the Fairness of Large Language Models: A Case Study of ChatGPT
Understanding and addressing unfairness in LLMs are crucial for responsible AI
deployment. However, there is a limited number of quantitative analyses and in-depth …
deployment. However, there is a limited number of quantitative analyses and in-depth …
Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects
Data science projects often involve various machine learning (ML) methods that depend on
data, code, and models. One of the key activities in these projects is the selection of a model …
data, code, and models. One of the key activities in these projects is the selection of a model …