情感计算中偏见和公平性的心理测量与计算视角整合：自动视频面试的案例研究（英文版）

英文标题：Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews中文摘要：本研究基于心理测量学的原则，对机器学习应用于情感计算的偏差和公平性进行了论述，讨论了测试公平性和偏置的各种方法和指标，并提供了自动化个性化和招聘推理的案例研究。英文摘要：We provide a psychometric-grounded exposition of bias and fairness as appliedto a typical machine learning pipeline for affective computing. We expand on aninterpersonal communication framework to elucidate how to identify sources ofbias that may arise in the proc