Candidates: Are you interviewing and need support?
Our Science
Support fair, diverse hiring with Human Potential Intelligence
Hiring should be fair—and backed by science. The typical hiring process often shuts out the best candidates—but Human Potential Intelligence is rooted in science to create a fairer hiring landscape. While hiring AI may be new, the rigor behind it isn’t. Our innovative models are built on decades of science and over 70 million interviews—and look to the future of what’s possible for your workplace.
“We've added an ethics department to the organization to make sure we're helping to create a diverse environment that welcomes everyone. I feel like HireVue takes that task and that work off of my plate and allows me to rely on the technology to meet that standard. ”
Science, not guesswork
Legacy HR tech was built for speed and quantity, not quality—and it evaluated what was achieved, not what could be achieved in the future. At Hirevue we believe science, deployed correctly, is a major part of the solution. We’ve rejected the old standard and work to perfect AI-powered tech that benefits hirers and candidates. We believe hiring on attitude and aptitude for specific roles should be the preferred method—not a standardized job description. And only then, can teams start hiring for greatness—and that’s what we call Human Potential Intelligence.
Consistency of AI machine learning
Question and evaluation consistency matters when it comes to encouraging diversity in hiring. While humans try to be consistent, they are inherently inconsistent and things like familiarity bias can easily creep in. Machines, however, are consistent by design. Everyone is treated equally in a HireVue assessment: Candidates respond to the same questions, play the same games, and receive the same amount of time to prepare and answer. And, with ethically-designed algorithms, candidates’ responses are evaluated against identical criteria, every time.
Building on a foundation of data and experience
We’ve learned a lot by conducting over 70 million interviews. With this data, our models focus on skills, behaviors, and competencies specific to the job and not on irrelevant information like how someone was dressed, which university they attended, or which keywords are in their resume.
AI in a human-centric way
External AI experts, along with our Data Scientists and Industrial/Organizational Psychologists, regularly check our AI models to mitigate for bias and encourage diversity in hiring.
Increasing Diversity in Hiring
For many of today’s leading organizations, it’s no longer enough to simply ensure your hiring process is compliant and doesn’t create adverse impact—true leaders want to drive toward creating a more diverse organization. A recent review of data from four long-term HireVue customers demonstrated that the Virtual Job Tryout® (VJT) can play a key role in these efforts. By comparing the make-up of the employee population before and after the implementation of the VJT, customers in multiple industries saw significant improvements in new hire diversity. On average, clients saw an increase of more than 40% in ethnicity and 26% in gender diversity.
The team
With over 30 experts, our science team combines two distinct fields of science: Industrial/Organizational Psychology and Data Science. We’ve carefully assembled experts from a range of experiences and fields as diverse as physics, economics, and medical imaging. Our team’s ongoing investigations into the use of advanced applied AI technology are regularly published in peer-reviewed scientific outlets.
Adhering to global standards
Our technology and science follow the professional guidelines and regulations to maximize fairness in the hiring process and support data privacy. We also continually monitor proposed regulations and laws, so we can help provide the right guidance to our customer base.
- Uniform Guidelines on Employee Selection Procedures (UGESP)
- Equal Employment Opportunity Commission (EEOC)
- The Age Discrimination in Employment Act of 1967 (ADEA)
- Americans with Disabilities Act of 1990 (ADA)
- General Data Protection Regulation (GDPR)
- Data security
- Privacy
Want to learn more about our standards and principles?
Our science rigor drives our audits
HireVue rigorously tests every algorithm before it’s put into production to minimize bias towards race, gender, or any other protected groups. Once the algorithms are live with our customers, they are checked regularly to monitor for bias and assist with diversity hiring efforts.
