Enhancing Inclusivity in Interviewing: Harnessing Intelligent Digital Avatars for Bias Mitigation

Abstract

Interviewing is a critical process in various fields such as human resource management, psychology, and social sciences, serving as a fundamental tool for evaluation, selection, and research. However, this process is inherently susceptible to human bias, which can adversely affect the fairness and validity of outcomes, leading to discrimination and a lack of diversity. Addressing these biases is imperative to ensure fair and equitable practices. In this chapter, we introduce an innovative application designed to address this vulnerability allowing interviewers to practice with digital humans, powered by generative artificial intelligence, and learn how to mitigate such biases. These avatars embody a substantial representation of diversity and are designed with advanced social intelligence capabilities, enabling them to engage in realistic and dynamic interactions, present a range of topics engagingly, and simulate human-like emotional and mood responses. The avatars challenge interviewers to navigate complex, multifaceted interactions, thus honing their abilities to identify and overcome personal biases. Practicing conversations with digital humans accelerates learning from experience without the risks associated with learning in the field. After each interaction, the system provides immediate feedback, fostering self-awareness and performance improvement. The integration of intelligent digital avatars into the interviewing process holds great promise for enhancing inclusivity and reducing bias. By leveraging the power of artificial intelligence and extended reality, it is possible to create a more equitable and effective interview process beneficial for both interviewers and candidates. As this technology continues to develop, it has the potential to significantly transform the landscape of interviewing across a wide range of fields.