7 Questions to Ask Before Using AI to Interview Your Candidates

AI interviewing tools promise speed and scalability—but when it comes to hiring, accuracy, fairness, and scientific validation matter far more than automation. This checklist helps you evaluate whether an AI-based hiring solution truly supports equitable, data-driven decisions—or if it puts your organization at risk. Learn how to identify tools that are grounded in behavioral science, validated for performance, and built to empower both candidates and hiring teams.

What You’ll Learn

• How to separate science from hype: Discover what “scientifically validated” really means in hiring technology.
• The importance of transparency: Learn why understanding how scores are created is essential for compliance and trust.
• How to identify traits that drive performance: Pinpoint assessments that measure stable, predictive behavioral and cognitive traits—not rehearsed responses.
• How to ensure fairness and defensibility: Understand the legal and ethical implications of AI-based interviews.
• How to evaluate candidate experience and lifecycle impact: Choose tools that not only improve hiring but also support engagement, development, and retention.