Keywords

asynchronous video interviews, hiring, social justice, artificial intelligence, discrimination

Abstract

Asynchronous video interviews (AVIs) provide scalable, low-cost opportunities for matching interviewees and organizations. However, the implications of a shift from synchronous interviews aren’t fully understood, especially when design choices such as AI evaluations are employed. To better understand the impact of AVIs, we undertook an exploratory qualitative study in addition to an experiment. The first study involves 100 qualitative responses and exploratory quantitative tests on the relationships between coded values and demographic and trait variables of the respondents. Our second study tests the impact of AI feedback using a large online AVI service while accounting for various disadvantaged groups that could experience discrimination in their AVI interactions. We developed 5 propositions regarding the interaction of interviewee traits and AVI design. Additionally, we did not find support that AI feedback increases the performance of interviewees, though we identify several traits that lead to high AI scores and human-rater performance.

Original Publication Citation

Skousen, T., Steffen, J., Chandler, C., Rosengren, W., Gaskin, J., Meservy, T. 2022. “Asynchronous Video Interviews and Artificial Intelligence: A Multi- Study Exploration”. International Conference on Information Systems 2022.

Document Type

Conference Paper

Publication Date

2022

Publisher

International Conference on Information Systems

Language

English

College

Marriott School of Business

Department

Information Systems Management

University Standing at Time of Publication

Assistant Professor

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