Insights on AI and Recruitment
Why the leading voice on workforce transformation says caution is now HR's biggest risk—and what it means for talent acquisition.
Joseph Fuller of Harvard Business School argues that HR's instinct for caution has become a liability in the AI era. His research on workforce transformation has direct implications for talent acquisition leaders evaluating AI tools.
Why the latest frontier AI research validates human-in-the-loop approaches—and what it means for the future of talent acquisition.
Anthropic's research on AI introspection has direct implications for HR leaders evaluating AI hiring tools. If AI systems can only reliably introspect on their own reasoning 20% of the time, what does that mean for automated scoring and candidate evaluation?
Analysis of industry data reveals widespread dysfunction in reference checking processes across North American organizations.
While reference checking enjoys near-universal adoption among employers, our analysis of industry dysfunction indicators reveals significant quality gaps in how organizations extract meaningful insights from the process.
University of Chicago study shows AI beats humans in job interviews by 12%. Learn how this groundbreaking research validates automated reference checking.
Researchers from University of Chicago and Erasmus University tracked 70,000 real job applicants. The results will transform how you think about AI in recruitment.