Celebrating our Science Team: Four new chapters, one shared commitment to ethical innovation
Each year, the world asks more of hiring technology, and at Hirevue, we answer those questions with science. It’s been our guiding principle since the beginning to build tools grounded in rigorous research, uphold ethics as a top priority, and continually raise the bar for fairness and transparency in hiring.
That commitment is evident not just in the software we deliver to customers and candidates, but also in the intellectual contributions our team makes to the broader scientific community. And today, we’re thrilled to celebrate several members of our Science Team whose expertise was recently featured in two newly published books.
Honoring the authors
Please join us in congratulating these outstanding contributors whose work helps advance the fields of Industrial-Organizational Psychology, assessment design, and ethical hiring practices.
- Cari Gardner and Josh Liff for their chapter in Case Studies in I-O Psychology:
“Not All Are Created Equally: Highly Specific versus Broadly Generalizable Models.” - Colin Willis, also featured in Case Studies in I-O Psychology, for:
“Innovations in Inclusivity: A Neurodiversity-Focused Approach to Hiring.” - Carter Gibson, contributing another chapter to Case Studies in I-O Psychology:
“Building the Plane After Takeoff: Quickly Deploying an Assessment and Improving It Later.” - Carter Gibson and Cory Moore, with a chapter in AI and Gamification Technologies for Complex Work, “Augmenting Rater Judgment Using Artificial Intelligence.”
- Jaymon Kirk for his chapter, “Twenty Questions about Employment Testing Bias and Unfairness in Australia,” published in a newly released volume addressing global perspectives on testing fairness.
Their work reflects the forward-thinking, evidence-based mindset that defines our Science Team; experts who combine data science, IO psychology, and applied research to push hiring tech toward a more equitable future.
Why these contributions matter
At Hirevue, we’re not simply building products. We’re writing the playbook for how AI and pre-hire assessments should be designed, audited, and deployed. That requires continuous education, publication, collaboration, and a healthy dose of skepticism about what “best practices” even mean in a rapidly changing field.
As we continue researching, testing, and pioneering the responsible use of AI in hiring, we remain grounded in the principles that brought us here: fairness, ethics, and scientific rigor. These newly published chapters expand the conversation in meaningful ways, and we couldn’t be prouder of the authors behind them.
Congratulations to the team!