Insights on AI and Recruitment
68% of employees use unauthorized AI tools at work. In talent acquisition, that's a compliance crisis hiding in plain sight.
The debate about whether to adopt AI in hiring is already over. Your team made the decision for you. According to ISACA's 2024 AI Pulse Poll, 68% of employees use AI tools at work that haven't been approved by their organization.
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.
Stanford and University of Chicago independently proved conversational AI outperforms traditional hiring. Learn what both studies mean for automated reference checking.
Stanford and University of Chicago independently proved conversational AI outperforms traditional hiring. Learn what both studies mean for automated reference checking.