题　目：Similarity Judgments Debias the Hidden Discrimination in Candidate Ratings for Hiring

嘉　宾：Yu Ding, Assistant Professor, Stanford University

主持人：才凤艳 教授 77779193永利官网

时　间：2024年6月11日（周二）13:30-15:00

地　点：77779193永利官网 徐汇校区 77779193永利官网B209

内容简介:

The hiring process typically involves three key steps: initial screening based on standard test scores, evaluation of candidates' quality and fit, and the final hiring decision. The second step, assessing candidates' quality and fit, is crucial for the progression of the selection process. This paper investigates biases in the hiring step of candidate quality rating. The authors find that discriminations (e.g., racial) can be hidden in a seemingly equal mean of ratings and propose that using similarity (vs. valence) judgments can reduce the correlation between evaluators' racial stereotypes and their quality ratings.

演讲人简介：

Yu Ding (Ph.D. Columbia University) is an assistant professor of marketing at Stanford Graduate School of Business. Ding’s research aims to help firms address trust deficits. His research topics cover trust in authority (e.g., science), trust in brands (e.g., news media), trust in people (e.g., strangers), and debiasing, in contexts of misinformation and social media. His research has been published in top marketing, management, psychology, and interdisciplinary appeal journals, such as the JCR, JMR, OBHDP, JPSP, and PNAS Nexus. Ding employs different methods to study these problems, including lab and field experiments, archival data analyses, and statistical and machine-learning techniques.

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