How to Validate Skills in the Age of AI
Hiring in the age of AI means every resume looks polished, every candidate checks the boxes, and somehow, your team is spending more time screening and feeling less sure than you were two years ago.
That's not a talent problem, it's a proof problem. The gap between what a candidate looks like on paper and what they can actually do keeps getting harder to see.
In this session, packed with live demos, CodeSignal’s Katie Fairbank shows you what closing that gap looks like in practice: how leading teams are moving from proxy signals to proof, what they're using, and the results they're seeing.
What you’ll learn
In this session, you’ll come away with:
What valid skill assessment looks like in 2026, and how to know if your current approach is keeping up
How recruiting teams are using AI Interviewer to evaluate more candidates, without losing signal quality, as application volumes keep climbing
When to choose an agentic coding assessment over a traditional coding assessment, and how the signal differs
How Suspicion Score, proctoring, and identity verification work together to keep your validation trustworthy
This session is designed for talent leaders who are serious about this moment and want to leave with something they can actually use.
Why this matters now
AI-generated applications have made it harder than ever to differentiate candidates on paper alone, making skills validation critical
Skills requirements are shifting fast, and AI fluency is becoming a baseline requirement across every function
The tools to game an assessment have never been more accessible, and most teams don’t yet have a way to know their results are trustworthy
Speaker Bio:
Katie Fairbank leads product marketing at CodeSignal, where she helps bring innovative hiring and learning solutions to life. With over a decade of experience in HR tech, including leadership roles at Cornerstone OnDemand, Katie has built positioning, go-to-market strategies, and messaging that truly connect with customers.