Author(s): Ritika Sahrawat and Gurvinder Kaur
The integration of artificial intelligence (AI) in the hiring process has revolutionized the way organizations seek and evaluate potential candidates, offering numerous advantages such as increased objectivity and efficiency. It is essential to recognize and address the substantial ethical implications associated with AI-enhanced hiring practices. In this study a qualitative analysis, conducted in the Delhi NCR region, involved 550 individuals with prior experience in AI-enabled recruiting, employing a deliberate sampling approach facilitated through social media channels. The research encompassed both inferential statistical techniques, such as t-tests and regression analysis, to uncover correlations and trends, and descriptive statistics to assess questionnaire data and provide a comprehensive overview. The study began by formulating five dependent variables and twenty-one independent variables, structured in the form of a Google Sheet, and the samples where collected in random sampling approches. The collected data was subsequently subjected to statistical analysis using SPSS. This research offers valuable insights into the ethical considerations surrounding AI-driven hiring, shedding light on issues related to fairness, bias, privacy, and transparency, which are of paramount importance in the contemporary employment landscape.