Navigating the Impact of AI in Hiring Processes

The chapter highlights the negative impacts of AI-driven processes in hiring, emphasizing the need to combine various assessments with resumes for a better candidate evaluation. It also discusses ways in which data scientists can reduce the adverse effects of AI in decision-making through considerations such as training data quality, interpretable machine learning methods, and diversity in model development.