33 citations · 66 across the 3 of their papers we have counts for
3 papers
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews
Brandon M Booth, Louis Hickman, Shree Krishna Subburaj +3
We provide a psychometric-grounded exposition of bias and fairness as applied to a typical machine learning pipeline for affective computing. We expand on an interpersonal communic…
Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy
Louis Hickman, Jason Kuruzovich, Vincent Ng +2
Organizations are increasingly adopting machine learning (ML) for personnel assessment. However, concerns exist about fairness in designing and implementing ML assessments. Supervi…
Studying Politeness across Cultures Using English Twitter and Mandarin Weibo
Mingyang Li, Louis Hickman, Louis Tay +2
Modeling politeness across cultures helps to improve intercultural communication by uncovering what is considered appropriate and polite. We study the linguistic features associate…