Author(s) :

Nishka Lal, Omar Benkraouda.

Volume/Issue :

Abstract :

This paper investigates the application of artificial intelligence (AI) in early-stage recruitment interviews to reduce inherent bias, specifically sentiment bias. Traditional interviewers are often subject to several biases, including interviewer bias, social desirability effects, and confirmation bias. This leads to non-inclusive hiring practices and a less diverse workforce. This study further analyzes various AI interventions in the marketplace today, such as multimodal platforms and interactive candidate assessment tools, to gauge the current market usage of AI in early-stage recruitment. However, this paper aims to use a unique AI system developed to transcribe and analyze interview dynamics, emphasizing skill and knowledge over emotional sentiments. Results indicate that AI effectively minimizes sentimentdriven biases by 41.2%, suggesting its revolutionizing power in companies’ recruitment processes for improved equity and efficiency.