Serand's fusion of AI and behavioural psychology for candidate assessment is intriguing. While the approach promises a comprehensive understanding of candidates, I'm curious about the balance it strikes between tech analysis and human nuances. How does it address potential biases in its assessments? A deeper dive into its methodology and real-world application results would be insightful. A promising tool indeed!
