This podcast episode explores the potential biases and limitations of AI-powered hiring tools in the recruitment process. The speakers discuss the use of AI in automating tasks such as resume screening and scheduling interviews, but caution against the potential for bias in these tools. They highlight a Bloomberg experiment that revealed disparities in candidate selection based on racial and gender demographics. The findings suggest that social, racial, and gender biases can influence AI-based resume screening, raising concerns about fairness and equity. The episode also discusses the potential for AI to promote fairness in hiring by implementing algorithmic fairness tools, but acknowledges the challenges in achieving fairness in AI systems. Overall, the episode emphasizes the importance of vigilant oversight and ethical usage of AI in the hiring process.