This essay delves into the significant role of bias in recruitment and selection processes, examining various types of biases such as halo effect, horn effect, leniency effect, contrast effect, conformity bias, confirmation bias, and personal similarity bias. It explores the impact of these biases on hiring decisions, organizational productivity, and diversity. The essay also discusses the role of merit, while acknowledging its limitations, and investigates the frequency of bias in recruitment. Furthermore, it outlines interventions and tools used to reduce bias, such as Blendoor, GapJumpers, Interviewing.io, Texito, Project Include, Workplace, Unitive, and Unbias.io, and analyzes their effectiveness. Finally, the essay concludes with strategies to overcome bias, aiming to increase fairness in the recruitment of new hires within organizations, emphasizing the importance of standardized recruitment processes and merit-based automated ranking.