Privacy, AI and the new rules of recruitment

IAPP Women's Leadership Network Web Conference

AI is rapidly changing how employers find, evaluate and select talent. Résumé screening, candidate matching, assessments, interview tools and AI-generated recommendations can make recruiting faster and more consistent — but they can also introduce decisions candidates cannot see, data uses they may not understand and biases employers may struggle to detect.

This session looks at AI-enabled recruitment from both sides of the hiring decision. What should candidates know about how their information is being collected, analyzed and inferred? What should recruiters understand before relying on an AI-generated ranking or recommendation? And what should privacy and AI governance professionals be asking about transparency, bias testing, accessibility, vendor claims and meaningful human oversight?

Through practical scenarios, we will examine where legitimate automation can become automation bias — and why having a recruiter "in the loop" does not necessarily mean a human is meaningfully making the decision. That distinction is already one of the strongest concepts in your existing presentation.

Ultimately, the session asks a deceptively simple question: When AI helps determine who gets an opportunity, how do we know the opportunity is being allocated fairly?